Adding Blender UI work up to this point

pull/54/head
Torrin Leonard 2022-02-02 10:37:42 -05:00
rodzic 8a2e74b41c
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21 zmienionych plików z 435 dodań i 2114 usunięć

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into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
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<https://www.gnu.org/licenses/why-not-lgpl.html>.

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<p align="center">
<img src="https://user-images.githubusercontent.com/82110564/147833091-50d1daab-f0d8-41b2-b0b1-7d521cf5016a.png">
</p>
# Blend_My_NFTs
## Description
Blend_My_NFTs is an open source, free to use Blender add on that enables you to automatically generate thousands of 3D Models, Animations, and Images. This add on's primary purpose is to aid in the creation of large generative 3D NFT collections.
For support, help, and questions, please join our Discord where our wonderful community can help you: https://discord.gg/UpZt5Un57t
This add on was origninal developed to create the NFT project This Cozy Place which is now availabe to mint on our website: https://thiscozystudio.com/
https://user-images.githubusercontent.com/82110564/147833465-965be08b-ca5f-47ba-a159-b92ff775ee14.mov
The video above illustrates the first 10 Cozy Place NFTs generated with Blend_My_NFts.
## Features
- Generate thousands of NFT 3D Models, Animations, and Images in Blender using 3D art.
- Support for Windows, Linux, and Mac OS.
- Weight and Raritize your NFT collection by setting weighted values.
- Creates Meta Data templates for each NFT making uploading to IPFS and Blockchains easy.
## Official Links:
Website: https://thiscozystudio.com/
Discord: https://discord.gg/UpZt5Un57t
Youtube: https://www.youtube.com/channel/UCARiKfuoSghM6DeieqWylYQ
Twitter: https://twitter.com/CozyPlaceNFT
Instagram: https://www.instagram.com/this_cozy_place/
Reddit: https://www.reddit.com/r/ThisCozyPlace/
## Case Studies
This document has a list of projects that use Blend_My_NFTs to help facilitate them in the creation of their collection:
https://docs.google.com/document/d/e/2PACX-1vSHZS4GRu8xXDYpVPEaxyBeTzms9yrJEC9IoAcP38_U8x0C1kVrbtNZgh0zUmkzBoZQVwNvBf3ldRij/pub
## Other languages
Spanish 🇪🇸 - https://docs.google.com/document/d/e/2PACX-1vTOjtAuI9coQHC7ubf05f6NOlr921dQFmTVO0P9JZ7b6HxdMFVL4bvYPnY3pl1gPLLTZ15oYv6bMWkL/pub
# Blend_My_NFTs Tutorial Guide
Blend_My_NFTs, this readme tutorial material, the youtube tutorials, the live stream Q/As, and tutorials are all provided for free by me for anyone to access/use any way they like. I only ask in return that you credit this software if you use Blend_My_NFTs to launch an NFT collection and kindly share what I have built here. A direct link to the Blend_My_NFTs Github page on your collection website (or equivelant) would sefice. I ask you of this only to share this tool and what it can do as I feel there are many out there that would benefit from it, my only goal is to help those that need it. It brings warmth to my heart that so many people use what I have built. Thank you.
The software in its current state is not farily user friendly but with a really basic understanding of programing you can opporate it with ease. You can learn the programing skills needed in ten minutes! :)
Blend_My_NFTs works with Blender 3.0.0 on Windows 10 or macOS Big Sur 11.6.
## Youtube Tutorial Series
Link to the newest Blend_My_NFTs tutorial video: https://www.youtube.com/watch?v=0T_PWVUIH5M
Note - Though this video series may be helpful, it might not be up to date with the current Blend_My_NFTs release. This document has more detailes and may have newer information. If you have no experience with the Blender API I recomend watch this tutorial on running python scripts in Blender: https://www.youtube.com/watch?v=cyt0O7saU4Q
## Important Terminology
Before we can continue there are terms that are used to describe the process of this software to make it a bit easier to understand. Refer to this section if you come accross an unfamiliar term.
For the following terms, lets say you are creating an NFT collection where the image is of a person wearing a hat:
``Attribute`` A part of an NFT that can be changed. The hat on a man is an Attribute, there are many types of hats, but the hat itself I will refer to it as an attribute.
``Variants`` These are the types of hats; red hat, blue hat, green hat, cat hat, etc. These can be swapped into the hat Attribute with one another to create different NFTs.
``DNA`` DNA is a sequence of numbers that determins what Variant from every Attribute in an NFT collection to include in a single NFT image. This program generates a uniqe DNA sequence for every possible combination of Variants in Attributes.
``Batch`` A Batch is a randomly selected subset of NFT DNA. It is a smaller portion of the total number of NFTs you want to generate. This makes the work load of rendering thousands of images easier to manage. It also gives you the option to render on multiple computers and ensures each computer renders seperate images with no overlap.
# Installation and Getting Started
This youtube tutorial goes over the basic setup discussed in this section: https://www.youtube.com/watch?v=dUajXAZzSPc (This video is out of date but goes over how to run scripts in Blender which is important to running Blend_My_NFTs)
Follow these steps to setup Blend_My_NFTs:
1. At the top of this page click the green "Code" button
2. Click "Download Zip" - This will download the Blend_My_NFTs folder to your Downloads folder in zip format
3. In your download folder, move Blend_My_NFTs-main.zip to your desktop or another easily accessable location
4. Unzip the file:
- How to unzip a file on Mac: https://support.apple.com/en-ca/guide/mac-help/mchlp2528/mac
- How to unzip a file on Windows: https://support.microsoft.com/en-us/windows/zip-and-unzip-files-f6dde0a7-0fec-8294-e1d3-703ed85e7ebc
5. Move the Blend_My_NFTs-main folder is located on your Desktop for easy access (recomended)
## How to set up your .Blend file
The following section covers how to set up your .Blend file and config.py file
In order for Blend_My_NFTs to read your .blend file, you need to structure your scene in a specific way. Please follow all naming and collection conventions exactly, otherwise the scripts will not run properly.
**Important Note**
Your .blend file must be moved to the Blend_My_NFTs folder. When you run the script, the .blend file must be in the directory of the Blend_My_NFTs folder. The Blender text editor has some weird quirks that make finding the right directory a bit tricky. If you are interested, I suggest reading about it in the Blender API above. This is the only work around I could find for now.
Rules for .blend structure:
- All Objects, collections, light sources, cameras, or anything else you want to stay constant for each NFT insert it into a collection named "Script_Ignore" exactly. This collection should be located directly beneath the 'Scene Collection' in your .blend file. Every thing in this Script_Ignore collection will be ignored by the collection (Attribute) fetcher. The state of the render and viewport camera of any objects/collections in Script_Ignore will remain unchanged during the scripts operation. The script will not turn the cameras of anything located in Script_Ignore on or off, so however you set them, will be how it renders.
- Every Attribute of your NFT must be represented by a collection directly beneath the 'Scene Collection' in your .blend file. DO NOT USE NUMBERS OR UNDERSCORES IN THE NAME OF THESE COLLECTIONS, this will mess with the scripts. Only use capital letters and lowercase letters, no numbers(0-9) or the underscore symbol( _ ).
- For each Variant of each Attribute create a collection containing everything that makes up that Variant. This Variant collection must be placed within the Attribute collection and named with the following format: VariantName_(variant number begining at 1)_0 (e.g. Cube_1_0, Cube_2_0, etc.). The VariantName CANNOT CONTAIN NUMBERS OR UNDERSCORES. Like above, this will mess with the scripts.
Here is an example of proper scene and collection formating with the above conventions:
<img width="405" alt="Screen Shot 2021-11-22 at 7 24 00 PM" src="https://user-images.githubusercontent.com/82110564/142954386-92372667-72e9-4568-a8f0-aae270f705fb.png">
In this example ``Camera`` ``and Const Collection 1`` is in ``Script_Ignore`` and will be displayed in every NFT generated. The collection ``Cube`` represents an attribute, and the collections ``Cube_1_33``, ``Cube_2_33``, ``Cube_3_33``, and ``Cube_4_1`` are the variants of that attribute. Notice that each variant of Cube has an incrementing number representing the order of the variants. The numbers ``33``, ``33``, ``33``, and ``1`` represent the percentage chance that variant will get chosen if ``enableRarity`` is set to ``True``.
## Customizing the config.py file
After installation, open the Blend_My_NFTs folder. You will need to change variables in the config.py file with a text editor or IDE; I recomend Visual Studio Code, but Blender has a bilt in Text Editor for ease of use. config.py is where you can customize aspects of your NFT collection and how it is generated.
Description of customisable variables to generate images:
``nftName`` - A string representing name of the file exported by Blend_My_NFTs (REQUIRED)
``imageFileFormat`` - A string representing the image file format that Blend_My_NFTs will export generated images as: (REQUIRED)
Type the exact name provided below in the '' for the imageFileFormat:
'JPEG' - Exports the .jpeg format
'PNG' - Exports the .png format
Visit https://docs.blender.org/api/current/bpy.types.Image.html#bpy.types.Image.file_format for a complete list of file formats supported by Blender. Enter the file extension exactly as specified in the Blender API documentation.
``animationFileFormat`` - A string representing the animations file format that Blend_My_NFTs will export generated animations as: (REQUIRED)
Type the exact name provided below in the '' above:
AVI_JPEG - Exports the .avi jpeg format
AVI_RAW - Exports the .avi raw format
FFMPEG - Exports the .ffmpeg format
Visit https://docs.blender.org/api/current/bpy.types.Image.html#bpy.types.Image.file_format for a complete list of file formats supported by Blender. (These are the Blender only supported animation formats).
``modelFileFormat`` - A string representing the 3D Models file format that Blend_My_NFTs will export generated 3D Modles as: (REQUIRED)
Type the exact name provided below in the '' above:
fbx - The .FBX file format
glb - The .glb file format
obj - The .obj file format *Exports both a .obj and a .mtl files for the same generated object
x3d - The .x3d file format
Visit https://docs.blender.org/api/current/bpy.ops.export_scene.html?highlight=export_scene#module-bpy.ops.export_scene
for a complete list of object formats supported by Blender.
``save_path_mac`` - A string representing the save path for Blend_My_NFTs if you are using MacOS: (REQUIRED - if using MacOS)
Example Mac: /Users/Path/to/Blend_My_NFTs
``save_path_windows`` - A string representing the save path for Blend_My_NFTs if you are using Windows: (REQUIRED - if using Windows)
Example Windows: C:\Users\Path\to\Blend_My_NFTs
``save_path_linux`` - A string representing the save path for Blend_My_NFTs if you are using Linux OS (REQUIRED - if using Linux)
Example Linux: /home/Path/to/Blend_My_NFTs
``maxNFTs`` - A positive integer representeing the number of NFTs to generate. (REQUIRED)
``nftsPerBatch`` - A positive integer representing the number of NFTs per batch. (REQUIRED)
``renderBatch`` - A positive integer representing the batch number to render if ``renderImage`` is set to True. (REQUIRED)
``enableRarity`` - A boolean value, when set to True, rarity percentage will be taken into account when generating NFT DNA and exporting to NFTRecord.json
``enableExporter`` - A Boolean value, when set to True, will export Images and or 3D models when main.py is run in Blender. (Turned on after NFTRecord.json and appropriate batches are generated with main.py)
``enableImages`` - A boolean value, when set to True with ``enableExporter = True`` will export images.
``enableAnimations`` - A boolean value, when set to True with ``enableExporter = True`` will export animations.
``enableModelsBlender`` - A boolean value, when set to True with ``enableExporter = True`` will export 3D models.
- Note that ``enableImages``, ``enableModelsBlender``, and ``enableAnimations`` can run at the same time. Both 3D Models, Animations, and Images will be exported. (One of the above is REQUIRED to generate NFT files)
``refactorBatchOrder`` - A boolean value, when set to True will combine NFT Batch# folders into a folder called ``Complete_Collection`` when main.py is run in Blender. Running main.py with this variable set to True will aslo generate meta data formats if the desired formats below are also set to True.
``cardanoMetaData`` - A boolean value, when set to True will generate a folder containing Cardano meta data json files for each NFT file. Generates when main.py is run with ``refactorBatchOrder`` is set to True.
``solanaMetaData`` - A boolean value, when set to True will generate a folder containing Solana meta data json files for each NFT file. Generates when main.py is run with ``refactorBatchOrder`` is set to True.
``erc721MetaData`` - A boolean value, when set to True will generate a folder containing ERC721 (Ethereum) meta data json files for each NFT file. Generates when main.py is run with ``refactorBatchOrder`` is set to True.
``turnNumsOff`` - A boolean value, when set to True will remove numbers and underscores in the names of Variants when NFT meta data is generated. Works after ``refactorBatchOrder`` is ran in main.py.
``metaDataDescription`` - A string value, sets the Description variable in the BMNFTs meta data file format. Can be used in a modifed version of metaData.py to fill in Description varaibles in other meta data formats.
``enableGeneration`` - A boolean value, when set to True, applies and takes into account colour or material variants in the NFT DNA. (Optional)
``generationType`` - A string value, takes ``color`` or ``material`` as input. Determines if extra variatns are generated with colours or material textures. (Optional)
``rgbaColorList#`` - A list containing tuples representing the RGBA colour values assigned to a given object in ``colorList``. (Optional)
``materialList#`` - A list containing strings representing the names of materials in blender: (Optional)
These materials must be in your Current Files' Materials. Make sure that you've set your materials as "fake user". The collections below are Current Files' Materials. You can put as many or as little materials values in these lists as you would like. You can create any number of materialLists and assign them to any number of collections that you would like. Each set of materialLists assigned to an object by collection name in the materialList will act like an attribute and create a unique variant of that item.
``colorList`` - A dictionary which the keys are the names of variants, and the items are the ``rgbaColorList#`` or ``materialList#``: (Optional)
The rgbaColorList# deterimnes the colours that the variants will change to. This creates new variants with those RGBA colour values.
``enableResetViewport`` - A boolean value, when set to True, resets the veiwport of all cameras not in Script_Ignore. (Optional)
``enable3DModels`` - A boolean value, when set to True, will generate all possible combinations of 3D models when working with an external repository of 3D models in ``3D_Model_Input``.
``runPreview`` - A boolean value, when set to True, will run a shell of all main modules to generate NFT files. Will print useful numbers and values in the console to help you create your NFT collection.
``maxNFTsTest`` - A positive integer representing the number of NFTs to create during the test. This number aids in the estimation of complete collection creation; the higher this number, the more accurate the estimation.
``checkDups`` - A boolean value, when set to True, will print the number of duplicate NFTs found in the NFTRecord.json file. This file is provided for transparency, it is impossible for duplicates to be made with the current code in the DNA_Generator.py
``checkRarity`` - A boolean value, when set to True, will print the true rarity data in the Blender System Console, this data will be saved to a RarityData.json file in the Blend_My_NFTs folder. This file is provided for transparency. The accuracy of the rarity values you set in your .blend file as outlined in the below are dependent on the maxNFTs, and the maximum number of combinations of your NFT collection.
## Running main.py - Generating NFTRecord and Batches
Before you can render iamges you need to generate a list of NFT DNA then split it up into batches to render more easily. These will take the form of the NFTRecord.json file, and a list of Batch#.json files.
``NFTRecord.json`` - This file contains a list of all NFT DNA, this list is limited by ``nftMax`` in config.py.
``Batch#.json`` - These files contain peices of NFTRecord.json selected at random and sent to a batch containing ``nftsPerBatch`` number of DNA.
Before running main.py, ensure these variables are set properly or else the script will not work:
- ``nftName``
- ``save_path_mac`` or ``save_path_windows``
- ``maxNFTs``
- ``nftsPerBatch``
- ``enableExporter = False``
Steps to generate NFTRecord and Batches:
1. In your .blend file open the ``Scripting Tab`` in the menu of Blender:
<img width="1440" alt="Screen Shot 2021-10-24 at 9 51 25 PM" src="https://user-images.githubusercontent.com/82110564/138623488-9d0efc07-4004-4d3a-a7fe-25cb6050ac51.png">
2. Click the "Open" button in the Blender Text Editor:
<img width="1422" alt="Screen Shot 2021-10-29 at 11 31 38 PM" src="https://user-images.githubusercontent.com/82110564/139518856-7798ea86-0be0-4511-bc87-fa09ce2f6538.png">
3. With the Blender File View open, navigate to the Blend_My_NFTs folder, navigate to the ``src`` folder, then open main.py.
<img width="1062" alt="Screen Shot 2021-11-23 at 8 09 23 PM" src="https://user-images.githubusercontent.com/82110564/143153066-254e5e3e-cd06-4fdb-b645-180ed01fe89b.png">
5. To run main.py click the run button shown circled below:
<img width="605" alt="Screen Shot 2021-11-23 at 8 12 10 PM" src="https://user-images.githubusercontent.com/82110564/143153297-b90d9e16-69b7-4b44-b63b-20869f155f32.png">
If you correctly formated your .blend file, you will now have two file types; an NFTRecord.json, and a number of Batch#.json files located in the ``Batch_Json_files`` folder.
## Running main.py - Generating Image Batches
**For this section, ensure you have generated NFTRecord.json and Batch#.json files before taking the following steps**
Steps to Generate Images:
1. Ensure all manditory variables have been filed in (all found in config.py):
- ``nftName``
- ``save_path_mac`` or ``save_path_windows``
- ``maxNFTs``
- ``nftsPerBatch``
- ``renderBatch``
2. Run main.py in Blender with ``enableExporter`` set to ``False`` in config.py. This will generate the NFTRecord.json and Batch#.json files.
3. Set ``renderBatch`` to the batch number you wish to render in config.py.
4. Set ``enableExporter`` to ``True`` in config.py.
5. Set ``enableImages`` to ``True`` in config.py.
6. Run main.py in the Blender Scripting Tab. This will now generate Images.
<img width="605" alt="Screen Shot 2021-11-23 at 8 12 10 PM" src="https://user-images.githubusercontent.com/82110564/143153297-b90d9e16-69b7-4b44-b63b-20869f155f32.png">
Reapeat the steps above for each Batch to generate the complete NFT collection.
## Summery: The order to run main.py to Generate Image Batches
Run the scripts in the following order:
1. main.py - With ``renderImage`` set to ``False`` in the config.py: Generates the data for your NFT collection.
2. main.py - With ``renderImage`` set to ``True`` in the config.py: Renders images in a batch specified by ``renderBatch``.
## Running main.py - Generating Animation Batches
Steps to Generate Animations:
1. Ensure all manditory variables have been filed in (all found in config.py):
- ``nftName``
- ``save_path_mac`` or ``save_path_windows``
- ``maxNFTs``
- ``nftsPerBatch``
- ``renderBatch``
2. Run main.py in Blender with ``enableExporter`` set to ``False``. This will generate the NFTRecord.json and Batch#.json files.
3. Set ``animationFileFormat`` to the animation file format you wish to export in config.py.
4. Set ``enableAnimations`` to ``True`` in config.py.
5. Set ``enableExporter`` to ``True`` in config.py.
6. Run main.py in the Blender Scripting Tab. This will now generate Animations.
<img width="605" alt="Screen Shot 2021-11-23 at 8 12 10 PM" src="https://user-images.githubusercontent.com/82110564/143153297-b90d9e16-69b7-4b44-b63b-20869f155f32.png">
Reapeat the steps above for each Batch to generate the complete NFT collection.
## Summery: The order to run main.py to Generate Animation Batches
Run the scripts in the following order:
1. main.py - With ``enableExporter`` set to ``False`` in config.py: Generates the data for your NFT collection.
2. main.py - With ``enableExporter`` and ``enableAnimations`` set to ``True`` in config.py: Renders and compiles animations.
## Running main.py - Generating 3D Model Batches from a .blend file
Youtube tutorial for generating 3D models: https://www.youtube.com/watch?v=rRs0lN5huDk&t=1s
Steps to Generate 3D models:
1. Ensure all manditory variables have been filed in (all found in config.py):
- ``nftName``
- ``save_path_mac`` or ``save_path_windows``
- ``maxNFTs``
- ``nftsPerBatch``
- ``renderBatch``
2. Run main.py in Blender with ``enableExporter`` set to ``False``. This will generate the NFTRecord.json and Batch#.json files.
3. Set ``modelFileFormat`` to the 3D Model file format you wish to export in config.py.
4. Set ``enableModelsBlender`` to ``True`` in config.py.
5. Set ``enableExporter`` to ``True`` in config.py.
6. Run main.py in the Blender Scripting Tab. This will now generate 3D Models.
<img width="605" alt="Screen Shot 2021-11-23 at 8 12 10 PM" src="https://user-images.githubusercontent.com/82110564/143153297-b90d9e16-69b7-4b44-b63b-20869f155f32.png">
## Summary: The order to run main.py to Generate 3D Model Batches:
run the scripts in the following order:
1. main.py - With ``enableExporter`` set to ``False`` in config.py: Generates the data for your NFT collection.
2. main.py - With ``enableExporter`` and ``enableModelsBlender`` set to ``True`` in config.py: Exports 3D models.
# Generating 3D Models with external 3D Models
This youtube tutorial goes over the basic setup discussed in this section: https://www.youtube.com/watch?v=NonORFpVhLw (This video is out of date but may be of use)
The following section covers generating and exporting 3D models with Blend_My_NFTs with a repository of external 3D models in a folder structure. The 3D model generator combines 3D models together and exports all possible combinations of those 3D models to a folder.
## How to set up your 3D model folders
Similarly to the Image Generator, there is a specific way to format 3d model repositors external to Blender.
1. In the following photo we have a folder structure. In this example, ``Sphere`` and ``Cube`` are our attributes. Any object file in the ``Script_Ignore_Folder`` will be added to all NFT 3D models generated, and such is an appropriate place to put constant scene elements you wish to appear in every NFT you generate.
<img width="191" alt="Screen Shot 2021-11-09 at 8 55 34 PM" src="https://user-images.githubusercontent.com/82110564/141035340-576f5ca6-8710-4ce1-a9ad-a28c75653c6e.png">
2. After you have formated the repository of 3D models to the above convention, copy and past it into the 3D_Model_Input folder located in Blend_My_NFTs:
<img width="357" alt="Screen Shot 2021-11-09 at 8 59 06 PM" src="https://user-images.githubusercontent.com/82110564/141035754-3561ae2b-ee5c-4d65-ac5e-d4c17e34e3a7.png">
3. Next open config.py and change the variable ``use3DModels = False`` to ``use3DModels = True``
<img width="150" alt="Screen Shot 2021-11-09 at 9 02 05 PM" src="https://user-images.githubusercontent.com/82110564/141035910-5ffb477c-956b-4a89-bda0-3665b7a85fff.png">
4. In Blender open a new blend file and delete everything from the scene.
5. Save the .blend file to the Blend_My_NFTs folder and reload the .blend file from the new directory.
7. Run main.py in the Blender Scripting Tab
The generated 3D models will appear in the folder 3D_Model_Output
## How to use Rarity
Rarity is a percentage value and accepts fractions like 0.001%, but they must be specified with decimals in the naming (fraction like 1/2 or 3/5 are not permitted in the naming structure). For ease of use the percentages should add up to 100%:
```
33% + 33% + 33% + 1% = 100%
Variant 1 = 33% chance
Variant 2 = 33% chance
Variant 3 = 33% chance
Variant 4 = 1% chance
```
If you have 20 variants with 50 set as the rarity percentage for each, Blend_My_NFTs will add up the percentages then treat the sum as 100%:
```
50% + 50% + 50% + 50% + 50%....
= 1,000%
Out of 100%:
(50/1,000)*100 = 5% chance of 1 variant
```
Rarity is dependent on both the number of NFTs you generate, as well as the maximum number of possible combinations of the attributes in your .blend file.
This means the following two scenarios, say, at a fixed number of 10,000 NFTs to generate;
1. Your .blend file has 1,000,000,000 possible combinations (trust me that's a small number, our collection for This Cozy Place has over 11 Trillion possible combinations). Generating 10,000 will be more representative of the rarity numbers you set as the script will simply have more combinations to choose from.
2. Your .blend file has 10,000 possible combinations. This means that all possible combinations of your NFT will be generated, meaning that no rarity can be taken into account since the only way to reach your required 10,000 NFTs to generate is by including NFTs that
This is the result for following reasons:
1. The rarity is determined sudo randomly by, but is weighted based on each variants rarity percentage.
2. The script prioritises the number of NFTs to generate (that you set in config.py with the maxNFTs variable) over rarity percentage
This behaviour is a fundamental mathematical result, not an issue with the code. I've researched various ways at creating and enforcing rarity, this is the only way I have found that works. If you have found a better method, feel free to make a pull request and I'd be happy to review and merge it to the main Github repo for BMNFTs.
.blend file examples:
1. With Rarity percentage (50% 50% split)
```
Hat <-- Attribute
|-Green Hat_1_50
|-Red Hat_2_50
```
2. Since it's 50/50 it can also be expressed like this:
```
Hat <-- Attribute
|-Green Hat_1_0
|-Red Hat_2_0
```
Leaving the rarity number as 0 will randomly select 1 of the variants you set in your .blend file. Note that this only works if every variant's rarity is set to 0. For an attribute its rarity or random, not both. You can have different attributes, where some are using rarity and others are randomly selected, but you cannot mix these with variants.
Example of more complex rarity structures:
```
Hat <-- Attribute
|-Green Hat_1_24.75
|-Red Hat_2_24.75
|-Blue Hat_2_24.75
|-Orange Hat_2_24.57
|-Purple Hat_2_0.5
|-Yellow Hat_2_0.5
```
In the example above, Green, Red, Blue, and Orange hats all have an equal chance of getting selected. However Purple and Yellow hats will only appear on average 0.5% of the time. We recommend rounding to about 5 decimal places for simplicity, as numbers of more accuracy aren't really needed for NFT collections 10,000 or smaller.
The code for that determines rarity can be found in ``src/Main_Generators/Rarity_Sorter.py``. The most important line in that file is ``70``, that is what generates the randomly weighted DNA. After that it is checked by line
## Helpful Links
This Blender add on heaviliy relies on the Blender API and its documentation which you can find here: https://docs.blender.org/api/current/index.html
If you have no experience with the Blender API I recomend watch this tutorial on running python scripts in Blender: https://www.youtube.com/watch?v=cyt0O7saU4Q
There is also helpful documentation in the Blender API about running scripts here: https://docs.blender.org/api/current/info_quickstart.html#running-scripts
Note - You might want to install the Icon Viewer add-on for Blender: https://docs.blender.org/manual/en/latest/addons/development/icon_viewer.html
## Disclaimers
Blend_My_NFTs works with Windows 10 or macOS BigSure 11.6 on Blender 3.0.0. These are the operating systems I have tested the scripts on, I do not garuntee they will work on other operating systems. I do not garuntee this software will work with your setup. There are many variables and factors that go into running the software provided, it differs from system to system, and from blend file to blend file.
I encourage you to do some trouble shooting, read the Blender API documentation, read this tutorial, review the scripts, and do your own research before reaching out for help on our discord. If you are really stuck and are out of options I am available on our disord channel above for consulting. However! I am not a toutor. Although I enjoy teaching people, I simply do not have the time to work, build this project, teach people Blender/Python, and live my life. So please respect my time, I'd love to help!
To be honest I have no idea how to use Blender. I know some basic things, but I know the API and Python a lot better. This is my first Blender/Python project, so you may be wondering "how is he making a NFT collection with Blender??" Well I'm not, I write the code for the Blend_My_NFTs, and my team has three other members; Devlin and Caelin, who create the scenes and models in Blender, and the third is Quinn who is the lead web developer for our site.
If building an NFT collection in blender is something you really want to do and you have experience with Blender, I suggest you get familiar with some basic Python functionality and then how to run scripts in the Belnder Text Editor (an indepth knowledge is not required). However, if you don't use Blender but have a coding background, I would suggest watching some basic tutorials just to get a feel for the software (an indepth knowledge is not required).
This tutorial page is not finished! This page will be updated as I commit/merge new changes to the main branch. (Last updated Nov 10th, 2021)
I garuntee this will eventually be an add on to Blender and not just a script you run through the script editor. (I mostly just put this in here for personal motivation, please don't pester me about the date lol)
Nothing in this repository or its documentation is financial advice. If you create an NFT project or collection with Blend_My_NFTs, you do so at your own personal and financial risk. We are only providing a means of acomplishing a goal, not investment or financial information about that goal. Do your own research and come to your own conclusions before spending money on NFTs or any asset for that matter. We are not liable for any finacial losses you may encure while using this software. Any discussion about finances and cryptocurrencies in this repository or its documentation are done with the intent to educate and provide examples to help our users understand concepts relating to Blend_My_NFTs and This Cozy Place.
The creators of This Cozy Studio will never, under any cricumstance, ask for your crypto wallet(s) secret phrase or private keys. If you come across anyone who is impersonating the founding members of This Cozy Place, please report it immediately to the admins on our discord channel and we will take appropriate action and warn our community of the behaviour. If this takes place outside of our community boundries then report the user to the appropriate authorities.
This software is provided for free and is open source. We are not liable for any felones you may commit using this software, and we staunchly appose the malicious use of this software that in any way breaks any applicable law in your loction of residence.

275
__init__.py 100644
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@ -0,0 +1,275 @@
bl_info = {
"name": "Blend_My_NFTs",
"author": "Torrin Leonard, This Cozy Studio Inc",
"version": (1, 0, 0),
"blender": (3, 0, 0),
"location": "View3D",
"description": "Blend_My_NFTs UI Edition",
"category": "Development",
}
# Import handling:
import bpy
import os
import importlib
from .main import DNA_Generator, Batch_Sorter, Exporter, Batch_Refactorer
importlib.reload(DNA_Generator)
importlib.reload(Batch_Sorter)
importlib.reload(Exporter)
importlib.reload(Batch_Refactorer)
# User input Property Group:
class BMNFTS_PGT_MyProperties(bpy.types.PropertyGroup):
# Main BMNFTS Panel properties:
nftName: bpy.props.StringProperty(name="NFT Name")
collectionSize: bpy.props.IntProperty(name="NFT Collection Size") # config.py = maxNFTs
nftsPerBatch: bpy.props.IntProperty(name="NFTs Per Batch") # config.py = nftsPerBatch
batchToGenerate: bpy.props.IntProperty(name="Batch To Generate", default=1) # config.py = renderBatch
save_path: bpy.props.StringProperty(name="Save Path",
description="Save path for NFT files",
default="",
maxlen=1024,
subtype="DIR_PATH")
enableRarity: bpy.props.BoolProperty(name="Enable Rarity")
imageBool: bpy.props.BoolProperty(name="Image")
imageEnum: bpy.props.EnumProperty(
name="Image File Format",
description="Select Image file format",
items=[
('PNG', ".PNG", "Export NFT as PNG"),
('JPEG', ".JPEG", "Export NFT as JPEG")
]
)
animationBool: bpy.props.BoolProperty(name="Animation")
animationEnum: bpy.props.EnumProperty(
name="Animation File Format",
description="Select Animation file format",
items=[
('AVI_JPEG', "AVI_JPEG", "Export NFT as AVI_JPEG"),
('AVI_RAW', "AVI_RAW", "Export NFT as AVI_RAW"),
('FFMPEG', "FFMPEG", "Export NFT as FFMPEG")
]
)
modelBool: bpy.props.BoolProperty(name="3D Model")
modelEnum: bpy.props.EnumProperty(
name="3D Model File Format",
description="Select 3D Model file format",
items=[
('GLB', '.glb', 'Export NFT as .glb'),
('GLTF_SEPARATE', '.gltf + .bin + textures', 'Export NFT as .gltf with separated textures in .bin + textures.'),
('GLTF_EMBEDDED', '.gltf', 'Export NFT as embedded .gltf file that contains textures.'),
('FBX', '.fbx', 'Export NFT as .fbx'),
('OBJ', '.obj', 'Export NFT as .obj'),
('X3D', '.x3d', 'Export NFT as .x3d'),
('VOX', '.vox', 'Export NFT as .vox, requires the voxwriter add on: https://github.com/Spyduck/voxwriter')
]
)
number: bpy.props.FloatProperty(name="float")
cardanoMetaDataBool: bpy.props.BoolProperty(name="Cardano Cip")
solanaMetaDataBool: bpy.props.BoolProperty(name="Solana Metaplex")
erc721MetaData: bpy.props.BoolProperty(name="ERC721")
# API Panel properties:
apiKey: bpy.props.StringProperty(name="API Key", subtype='PASSWORD')
def make_directories(save_path):
Blend_My_NFTs_Output = os.path.join(save_path, "Blend_My_NFTs Output", "NFT_Data")
batch_json_save_path = os.path.join(Blend_My_NFTs_Output, "Batch_Data")
nftBatch_save_path = os.path.join(save_path, "Blend_My_NFTs Output", "Generated NFT Batches")
if not os.path.exists(Blend_My_NFTs_Output):
os.makedirs(Blend_My_NFTs_Output)
if not os.path.exists(batch_json_save_path):
os.makedirs(batch_json_save_path)
if not os.path.exists(nftBatch_save_path):
os.makedirs(nftBatch_save_path)
return Blend_My_NFTs_Output, batch_json_save_path, nftBatch_save_path
class createData(bpy.types.Operator):
bl_idname = 'create.data'
bl_label = 'Create Data'
bl_description = 'Creates NFT Data. Run after any changes were made to scene.'
bl_options = {"REGISTER", "UNDO"}
def execute(self, context):
nftName = bpy.context.scene.my_tool.nftName
maxNFTs = bpy.context.scene.my_tool.collectionSize
nftsPerBatch = bpy.context.scene.my_tool.nftsPerBatch
save_path = bpy.context.scene.my_tool.save_path
enableRarity = bpy.context.scene.my_tool.enableRarity
Blend_My_NFTs_Output, batch_json_save_path, nftBatch_save_path = make_directories(save_path)
DNA_Generator.send_To_Record_JSON(nftName, maxNFTs, nftsPerBatch, save_path, enableRarity, Blend_My_NFTs_Output)
Batch_Sorter.makeBatches(nftName, maxNFTs, nftsPerBatch, save_path, batch_json_save_path)
return {"FINISHED"}
class exportNFTs(bpy.types.Operator):
bl_idname = 'exporter.nfts'
bl_label = 'Export NFTs'
bl_description = 'Generate and export a given batch of NFTs.'
bl_options = {"REGISTER", "UNDO"}
def execute(self, context):
nftName = bpy.context.scene.my_tool.nftName
save_path = bpy.context.scene.my_tool.save_path
batchToGenerate = bpy.context.scene.my_tool.batchToGenerate
maxNFTs = bpy.context.scene.my_tool.collectionSize
Blend_My_NFTs_Output, batch_json_save_path, nftBatch_save_path = make_directories(save_path)
enableImages = bpy.context.scene.my_tool.imageBool
print(enableImages)
imageFileFormat = bpy.context.scene.my_tool.imageEnum
print(imageFileFormat)
enableAnimations = bpy.context.scene.my_tool.animationBool
animationFileFormat = bpy.context.scene.my_tool.animationEnum
enableModelsBlender = bpy.context.scene.my_tool.modelBool
modelFileFormat = bpy.context.scene.my_tool.modelEnum
Exporter.render_and_save_NFTs(nftName, maxNFTs, batchToGenerate, batch_json_save_path, nftBatch_save_path, enableImages,
imageFileFormat, enableAnimations, animationFileFormat, enableModelsBlender,
modelFileFormat
)
return {"FINISHED"}
class refactor_Batches(bpy.types.Operator):
bl_idname = 'refactor.batches'
bl_label = 'Refactor Batches'
bl_description = 'Generate and export a given batch of NFTs.'
bl_options = {"REGISTER", "UNDO"}
def execute(self, context):
save_path = bpy.context.scene.my_tool.save_path
cardanoMetaDataBool = bpy.context.scene.my_tool.cardanoMetaDataBool
solanaMetaDataBool = bpy.context.scene.my_tool.solanaMetaDataBool
erc721MetaData = bpy.context.scene.my_tool.erc721MetaData
Blend_My_NFTs_Output, batch_json_save_path, nftBatch_save_path = make_directories(save_path)
Batch_Refactorer.reformatNFTCollection(save_path, Blend_My_NFTs_Output, batch_json_save_path, nftBatch_save_path,
cardanoMetaDataBool, solanaMetaDataBool, erc721MetaData)
# Main Panel:
class BMNFTS_PT_MainPanel(bpy.types.Panel):
bl_label = "Blend_My_NFTs"
bl_idname = "BMNFTS_PT_MainPanel"
bl_space_type = 'VIEW_3D'
bl_region_type = 'UI'
bl_category = 'Blend_My_NFTs'
def draw(self, context):
layout = self.layout
scene = context.scene
mytool = scene.my_tool
row = layout.row()
row.prop(mytool, "nftName")
row = layout.row()
row.prop(mytool, "collectionSize")
row = layout.row()
row.prop(mytool, "nftsPerBatch")
row = layout.row()
row.prop(mytool, "batchToGenerate")
row = layout.row()
layout.label(text="Export NFT as:")
row = layout.row()
row.prop(mytool, "imageBool")
if bpy.context.scene.my_tool.imageBool == True:
row.prop(mytool, "imageEnum")
row = layout.row()
row.prop(mytool, "animationBool")
if bpy.context.scene.my_tool.animationBool == True:
row.prop(mytool, "animationEnum")
row = layout.row()
row.prop(mytool, "modelBool")
if bpy.context.scene.my_tool.modelBool == True:
row.prop(mytool, "modelEnum")
row = layout.row()
row.prop(mytool, "save_path")
row = layout.row()
row.prop(mytool, "enableRarity")
row = layout.row()
self.layout.operator("create.data", icon='MESH_CUBE', text="Create Data")
row = layout.row()
self.layout.operator("exporter.nfts", icon='MESH_CUBE', text="Generate NFTs")
row = layout.row()
layout.label(text="Meta Data format:")
row = layout.row()
row.prop(mytool, "cardanoMetaDataBool")
row.prop(mytool, "solanaMetaDataBool")
row.prop(mytool, "erc721MetaData")
self.layout.operator("refactor.batches", icon='MESH_CUBE', text="Refactor Batches & create MetaData")
# API Panel:
class BMNFTS_PT_API_Panel(bpy.types.Panel):
bl_label = "API"
bl_idname = "BMNFTS_PT_API_Panel"
bl_space_type = 'VIEW_3D'
bl_region_type = 'UI'
bl_category = 'Blend_My_NFTs'
def draw(self, context):
layout = self.layout
scene = context.scene
mytool = scene.my_tool
row = layout.row()
row.prop(mytool, "apiKey")
# Register and Unregister classes from Blender:
classes = (BMNFTS_PGT_MyProperties, BMNFTS_PT_MainPanel, BMNFTS_PT_API_Panel, createData, exportNFTs, refactor_Batches)
def register():
for cls in classes:
bpy.utils.register_class(cls)
bpy.types.Scene.my_tool = bpy.props.PointerProperty(type=BMNFTS_PGT_MyProperties)
def unregister():
for cls in classes:
bpy.utils.unregister_class(cls)
del bpy.types.Scene.my_tool
if __name__ == '__main__':
register()

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@ -3,32 +3,25 @@
import bpy
import os
import sys
import copy
import json
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from . import metaData
from src import config
from src.Main_Generators import metaData
importlib.reload(config)
importlib.reload(metaData)
removeList = [".gitignore", ".DS_Store"]
def getNFType():
def getNFType(nftBatch_save_path):
images = False
animations = False
models = False
metaData = False
batch1 = [x for x in os.listdir(config.nft_save_path) if (x not in removeList)][0] # Gets first Batch and ignores removeList files
batchContent = os.listdir(os.path.join(config.nft_save_path, batch1))
batch1 = [x for x in os.listdir(nftBatch_save_path) if (x not in removeList)][0] # Gets first Batch and ignores removeList files
batchContent = os.listdir(os.path.join(nftBatch_save_path, batch1))
batchContent = [x for x in batchContent if (x not in removeList)]
if "Images" in batchContent:
@ -51,69 +44,69 @@ def getMetaDataDirty(completeMetaDataPath, i):
metaDataDirty = json.load(open(file_name))
name = metaDataDirty["name"]
description = metaDataDirty["description"]
NFT_DNA = metaDataDirty["NFT_DNA"]
NFT_Variants = metaDataDirty["NFT_Variants"]
if config.turnNumsOff:
for i in NFT_Variants:
x = NFT_Variants[i]
NFT_Variants[i] = x.split("_")[0]
for i in NFT_Variants:
x = NFT_Variants[i]
NFT_Variants[i] = x.split("_")[0]
return name, description, NFT_DNA, NFT_Variants
return name, NFT_DNA, NFT_Variants
def sendMetaDataToJson(metaDataDict, metaDataPath, jsonName):
jsonMetaData = json.dumps(metaDataDict, indent=1, ensure_ascii=True)
with open(os.path.join(metaDataPath, jsonName), 'w') as outfile:
outfile.write(jsonMetaData + '\n')
def renameMetaData(completeCollPath, completeMetaDataPath):
def renameMetaData(completeCollPath, completeMetaDataPath, cardanoMetaDataBool, solanaMetaDataBool, erc721MetaData):
metaDataListOld = os.listdir(completeMetaDataPath)
cardanoMetaDataPath = os.path.join(completeCollPath, "Cardano_metaData")
solanaMetaDataPath = os.path.join(completeCollPath, "Solana_metaData")
erc721MetaDataPath = os.path.join(completeCollPath, "Erc721_metaData")
for i in metaDataListOld:
name, description, NFT_DNA, NFT_Variants = getMetaDataDirty(completeMetaDataPath, i)
name, NFT_DNA, NFT_Variants = getMetaDataDirty(completeMetaDataPath, i)
file_name = os.path.splitext(i)[0]
file_num = file_name.split("_")[1]
if config.cardanoMetaData:
if cardanoMetaDataBool:
if not os.path.exists(cardanoMetaDataPath):
os.mkdir(cardanoMetaDataPath)
cardanoJsonNew = "Cardano_" + i
cardanoNewName = name.split("_")[0] + "_" + str(file_num)
metaDataDictCardano = metaData.returnCardanoMetaData(cardanoNewName, description, NFT_DNA, NFT_Variants)
metaDataDictCardano = metaData.returnCardanoMetaData(cardanoNewName, NFT_DNA, NFT_Variants)
sendMetaDataToJson(metaDataDictCardano, cardanoMetaDataPath, cardanoJsonNew)
if config.solanaMetaData:
if solanaMetaDataBool:
if not os.path.exists(solanaMetaDataPath):
os.mkdir(solanaMetaDataPath)
solanaJsonNew = "Solana_" + i
solanaNewName = name.split("_")[0] + "_" + str(file_num)
metaDataDictSolana = metaData.returnSolanaMetaData(solanaNewName, description, NFT_DNA, NFT_Variants)
metaDataDictSolana = metaData.returnSolanaMetaData(solanaNewName, NFT_DNA, NFT_Variants)
sendMetaDataToJson(metaDataDictSolana, solanaMetaDataPath, solanaJsonNew)
if config.erc721MetaData:
if erc721MetaData:
if not os.path.exists(erc721MetaDataPath):
os.mkdir(erc721MetaDataPath)
erc721JsonNew = "Erc721_" + i
erc721NewName = name.split("_")[0] + "_" + str(file_num)
metaDataDictErc721 = metaData.returnErc721MetaData(erc721NewName, description, NFT_DNA, NFT_Variants)
metaDataDictErc721 = metaData.returnErc721MetaData(erc721NewName, NFT_DNA, NFT_Variants)
sendMetaDataToJson(metaDataDictErc721, erc721MetaDataPath, erc721JsonNew)
return
def reformatNFTCollection():
images, animations, models, metaData = getNFType()
def reformatNFTCollection(save_path, Blend_My_NFTs_Output, batch_json_save_path, nftBatch_save_path, cardanoMetaDataBool,
solanaMetaDataBool, erc721MetaData):
completeCollPath = os.path.join(config.save_path, "Complete_Collection")
images, animations, models, metaData = getNFType(nftBatch_save_path)
completeCollPath = os.path.join(save_path, "Complete_Collection")
completeImagePath = os.path.join(completeCollPath, "Images")
completeAnimationsPath = os.path.join(completeCollPath, "Animations")
completeModelsPath = os.path.join(completeCollPath, "Models")
@ -130,7 +123,7 @@ def reformatNFTCollection():
if metaData and not os.path.exists(completeMetaDataPath):
os.mkdir(completeMetaDataPath)
batchListDirty = os.listdir(config.nft_save_path)
batchListDirty = os.listdir(nftBatch_save_path)
batchList = [x for x in batchListDirty if (x not in removeList)]
imageCount = 1
@ -139,11 +132,11 @@ def reformatNFTCollection():
dataCount = 1
for i in batchList:
if images:
imagesDir = os.path.join(config.nft_save_path, i, "Images")
imagesDir = os.path.join(nftBatch_save_path, i, "Images")
imagesList = sorted(os.listdir(imagesDir))
for j in imagesList:
imageOldPath = os.path.join(config.nft_save_path, i, "Images", j)
imageOldPath = os.path.join(nftBatch_save_path, i, "Images", j)
nameOldDirty = copy.deepcopy(os.path.splitext(j)[0])
extension = copy.deepcopy(os.path.splitext(j)[1])
nameOldClean = nameOldDirty.split("_")[0]
@ -156,11 +149,11 @@ def reformatNFTCollection():
imageCount += 1
if animations:
animationsDir = os.path.join(config.nft_save_path, i, "Animations")
animationsDir = os.path.join(nftBatch_save_path, i, "Animations")
animationsList = sorted(os.listdir(animationsDir))
for j in animationsList:
animationOldPath = os.path.join(config.nft_save_path, i, "Animations", j)
animationOldPath = os.path.join(nftBatch_save_path, i, "Animations", j)
nameOldDirty = copy.deepcopy(os.path.splitext(j)[0])
extension = copy.deepcopy(os.path.splitext(j)[1])
nameOldClean = nameOldDirty.split("_")[0]
@ -173,11 +166,11 @@ def reformatNFTCollection():
animationCount += 1
if models:
modelsDir = os.path.join(config.nft_save_path, i, "Models")
modelsDir = os.path.join(nftBatch_save_path, i, "Models")
modelsList = sorted(os.listdir(modelsDir))
for j in modelsList:
modelOldPath = os.path.join(config.nft_save_path, i, "Models", j)
modelOldPath = os.path.join(nftBatch_save_path, i, "Models", j)
nameOldDirty = copy.deepcopy(os.path.splitext(j)[0])
extension = copy.deepcopy(os.path.splitext(j)[1])
nameOldClean = nameOldDirty.split("_")[0]
@ -190,11 +183,11 @@ def reformatNFTCollection():
modelCount += 1
if metaData:
dataDir = os.path.join(config.nft_save_path, i, "BMNFT_metaData")
dataDir = os.path.join(nftBatch_save_path, i, "BMNFT_metaData")
dataList = sorted(os.listdir(dataDir))
for j in dataList:
dataOldPath = os.path.join(config.nft_save_path, i, "BMNFT_metaData", j)
dataOldPath = os.path.join(nftBatch_save_path, i, "BMNFT_metaData", j)
nameOldDirty = copy.deepcopy(os.path.splitext(j)[0])
extension = copy.deepcopy(os.path.splitext(j)[1])
nameOldClean = nameOldDirty.split("_")[0]
@ -213,9 +206,9 @@ def reformatNFTCollection():
dataCount += 1
print(f"All NFT files stored and sorted to the Complete_Collection folder in {config.save_path}")
print(f"All NFT files stored and sorted to the Complete_Collection folder in {save_path}")
renameMetaData(completeCollPath, completeMetaDataPath)
renameMetaData(completeCollPath, completeMetaDataPath, cardanoMetaDataBool, solanaMetaDataBool, erc721MetaData)
if __name__ == '__main__':

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@ -9,41 +9,40 @@ import json
import random
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
def makeBatches(nftName, maxNFTs, nftsPerBatch, save_path, batch_json_save_path):
Blend_My_NFTs_Output = os.path.join(save_path, "Blend_My_NFTs Output", "NFT_Data")
NFTRecord_save_path = os.path.join(Blend_My_NFTs_Output, "NFTRecord.json")
importlib.reload(config)
if config.runPreview:
config.nftsPerBatch = config.maxNFTsTest
config.maxNFTs = config.maxNFTsTest
config.renderBatch = 1
config.nftName = "TestImages"
def makeBatches():
file_name = os.path.join(config.save_path, "NFTRecord.json")
DataDictionary = json.load(open(file_name))
DataDictionary = json.load(open(NFTRecord_save_path))
numNFTsGenerated = DataDictionary["numNFTsGenerated"]
hierarchy = DataDictionary["hierarchy"]
DNAList = DataDictionary["DNAList"]
numBatches = config.maxNFTs / config.nftsPerBatch
numBatches = maxNFTs / nftsPerBatch
print(f"To generate batches of {config.nftsPerBatch} DNA sequences per batch, with a total of {numNFTsGenerated}"
print(f"To generate batches of {nftsPerBatch} DNA sequences per batch, with a total of {numNFTsGenerated}"
f" possible NFT DNA sequences, the number of batches generated will be {numBatches}")
# Clears the Batch Data folder of Batches:
batchList = os.listdir(batch_json_save_path)
if batchList:
for i in batchList:
batch = os.path.join(batch_json_save_path, i)
if os.path.exists(batch):
os.remove(
os.path.join(batch_json_save_path, i)
)
i = 0
while i < numBatches:
batchDictionary = {}
BatchDNAList = []
j = 0
while (j < config.nftsPerBatch) and (DNAList):
while (j < nftsPerBatch) and (DNAList):
oneDNA = random.choice(DNAList)
BatchDNAList.append(oneDNA)
DNAList.remove(oneDNA)
@ -55,7 +54,7 @@ def makeBatches():
batchDictionaryObject = json.dumps(batchDictionary, indent=1, ensure_ascii=True)
with open(os.path.join(config.batch_json_save_path, ("Batch{}.json".format(i + 1))), "w") as outfile:
with open(os.path.join(batch_json_save_path, ("Batch{}.json".format(i + 1))), "w") as outfile:
outfile.write(batchDictionaryObject)
i += 1
@ -67,7 +66,7 @@ def makeBatches():
incompleteBatch = json.dumps(incompleteBatch, indent=1, ensure_ascii=True)
with open(os.path.join(config.batch_json_save_path, ("Batch{}.json".format(i + 1))), "w") as outfile2:
with open(os.path.join(batch_json_save_path, ("Batch{}.json".format(i + 1))), "w") as outfile2:
outfile2.write(incompleteBatch)

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@ -4,7 +4,6 @@
import bpy
import os
import re
import sys
import copy
import time
import json
@ -12,22 +11,11 @@ import random
import importlib
from functools import partial
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
from src.Main_Generators import Rarity_Sorter
importlib.reload(config)
from . import Rarity_Sorter
importlib.reload(Rarity_Sorter)
if config.runPreview:
config.nftsPerBatch = config.maxNFTsTest
config.maxNFTs = config.maxNFTsTest
config.renderBatch = 1
config.nftName = "TestImages"
enableGeneration = False
colorList = []
class bcolors:
'''
@ -38,14 +26,13 @@ class bcolors:
ERROR = '\033[91m' # RED
RESET = '\033[0m' # RESET COLOR
time_start = time.time()
print("")
time_start = time.time()
def stripColorFromName(name):
return "_".join(name.split("_")[:-1])
def returnData():
def returnData(nftName, maxNFTs, nftsPerBatch, save_path, enableRarity):
'''
Generates important variables, dictionaries, and lists needed to be stored to catalog the NFTs.
:return: listAllCollections, attributeCollections, attributeCollections1, hierarchy, variantMetaData, possibleCombinations
@ -84,9 +71,9 @@ def returnData():
ignoreList = listSubIgnoreCollections()
for i in listAllCollInScene:
if config.enableGeneration:
if i.name in config.colorList:
for j in range(len(config.colorList[i.name])):
if enableGeneration:
if i.name in colorList:
for j in range(len(colorList[i.name])):
if i.name[-1].isdigit() and i.name not in ignoreList:
listAllCollections.append(i.name + "_" + str(j + 1))
elif j == 0:
@ -173,7 +160,7 @@ def returnData():
elif len(orderRarity) > 0:
number = orderRarity[0]
if config.enableGeneration:
if enableGeneration:
if count == 1 or count == 0:
previousAttribute = i.partition("_")[0]
count +=1
@ -183,7 +170,7 @@ def returnData():
count = 1
number = str(count)
rarity = orderRarity[1]
if config.enableGeneration and stripColorFromName(i) in config.colorList:
if enableGeneration and stripColorFromName(i) in colorList:
color = orderRarity[2]
else:
color = "0"
@ -202,12 +189,12 @@ def returnData():
colParLong = list(bpy.data.collections[str(i)].children)
colParShort = {}
for x in colParLong:
if config.enableGeneration:
if enableGeneration:
"""
Append colors to blender name for PNG generator and NFTRecord.json to create the correct list
"""
if x.name in config.colorList:
for j in range(len(config.colorList[x.name])):
if x.name in colorList:
for j in range(len(colorList[x.name])):
colParShort[x.name + "_" + str(j+1)] = None
else:
colParShort[x.name + "_0"] = None
@ -244,7 +231,7 @@ def returnData():
combinations = combinations*i
try:
numBatches = combinations/config.nftsPerBatch
numBatches = combinations/nftsPerBatch
except:
print(f"{bcolors.ERROR} ERROR:\nnftsPerBatch in config.py needs to be a positive integer. {bcolors.RESET}")
@ -259,7 +246,7 @@ def returnData():
if numBatches < 1:
print(f"{bcolors.ERROR} ERROR: {bcolors.RESET}")
print("The number of NFTs Per Batch (nftsPerBatch variable in config.py) is to high. There are a total of "
f" {combinations} possible NFT combinations and you've requested {config.nftsPerBatch} NFTs per batch. "
f" {combinations} possible NFT combinations and you've requested {nftsPerBatch} NFTs per batch. "
f"Lower the number of NFTs per batch in config.py or increase the number of attributes and/or variants in your .blend file.")
return combinations
@ -268,7 +255,7 @@ def returnData():
for i in variantMetaData:
def cameraToggle(i, toggle=True):
if config.enableGeneration:
if enableGeneration:
"""
Remove Color code so blender recognises the collection
"""
@ -279,21 +266,21 @@ def returnData():
return listAllCollections, attributeCollections, attributeCollections1, hierarchy, possibleCombinations
def generateNFT_DNA():
def generateNFT_DNA(nftName, maxNFTs, nftsPerBatch, save_path, enableRarity):
"""
Returns batchDataDictionary containing the number of NFT combinations, hierarchy, and the DNAList.
"""
listAllCollections, attributeCollections, attributeCollections1, hierarchy, possibleCombinations = returnData()
listAllCollections, attributeCollections, attributeCollections1, hierarchy, possibleCombinations = returnData(nftName, maxNFTs, nftsPerBatch, save_path, enableRarity)
print(f"NFT Combinations: {possibleCombinations}\n")
print(f"Generating {config.maxNFTs} combinations of DNA.\n")
print(f"Generating {maxNFTs} combinations of DNA.\n")
DataDictionary = {}
listOptionVariant = []
DNAList = []
if not config.enableRarity:
if not enableRarity:
DNASet = set()
for i in hierarchy:
@ -318,27 +305,27 @@ def generateNFT_DNA():
return str(dna)
for i in range(config.maxNFTs):
for i in range(maxNFTs):
dnaPushToList = partial(createDNARandom)
DNASet |= {''.join([dnaPushToList()]) for _ in range(config.maxNFTs - len(DNASet))}
DNASet |= {''.join([dnaPushToList()]) for _ in range(maxNFTs - len(DNASet))}
DNAList = list(DNASet)
possibleCombinations = config.maxNFTs
possibleCombinations = maxNFTs
if config.nftsPerBatch > config.maxNFTs:
if nftsPerBatch > maxNFTs:
print(bcolors.WARNING + "\nWARNING:" + bcolors.RESET)
print(f"The Max num of NFTs you chose is smaller than the NFTs Per Batch you set. Only {config.maxNFTs} were added to 1 batch")
print(f"The Max num of NFTs you chose is smaller than the NFTs Per Batch you set. Only {maxNFTs} were added to 1 batch")
if config.enableRarity:
if enableRarity:
print(f"{bcolors.OK} Rarity is on. Weights listed in .blend will be taken into account {bcolors.RESET}")
possibleCombinations = config.maxNFTs
DNAList = Rarity_Sorter.sortRarityWeights(hierarchy, listOptionVariant, DNAList)
possibleCombinations = maxNFTs
DNAList = Rarity_Sorter.sortRarityWeights(hierarchy, listOptionVariant, DNAList, nftName, maxNFTs, nftsPerBatch, save_path, enableRarity)
if len(DNAList) < config.maxNFTs:
if len(DNAList) < maxNFTs:
print(f"{bcolors.ERROR} \nWARNING: \n"
f"You are seeing this warning because the program cannot generate {config.maxNFTs} NFTs with rarity enabled. "
f"You are seeing this warning because the program cannot generate {maxNFTs} NFTs with rarity enabled. "
f"Only {len(DNAList)} NFT DNA were generated."
f"Either A) Lower the number of NFTs you wish to create, or B) Increase the maximum number of possible NFTs by"
f" creating more variants and attributes in your .blend file.{bcolors.RESET}")
@ -350,7 +337,7 @@ def generateNFT_DNA():
return DataDictionary, possibleCombinations, DNAList
def send_To_Record_JSON():
def send_To_Record_JSON(nftName, maxNFTs, nftsPerBatch, save_path, enableRarity, Blend_My_NFTs_Output):
"""
Creates NFTRecord.json file and sends "batchDataDictionary" to it. NFTRecord.json is a permanent record of all DNA
you've generated with all attribute variants. If you add new variants or attributes to your .blend file, other scripts
@ -358,19 +345,20 @@ def send_To_Record_JSON():
repeate DNA.
"""
DataDictionary, possibleCombinations, DNAList = generateNFT_DNA()
DataDictionary, possibleCombinations, DNAList = generateNFT_DNA(nftName, maxNFTs, nftsPerBatch, save_path, enableRarity)
NFTRecord_save_path = os.path.join(Blend_My_NFTs_Output, "NFTRecord.json")
try:
ledger = json.dumps(DataDictionary, indent=1, ensure_ascii=True)
with open(os.path.join(config.save_path, "NFTRecord.json"), 'w') as outfile:
with open(NFTRecord_save_path, 'w') as outfile:
outfile.write(ledger + '\n')
print(f"{bcolors.OK}{len(DNAList)} NFT DNA sent to NFTRecord.json in %.4f seconds.\n" % (time.time() - time_start) + bcolors.RESET)
print(f"{bcolors.OK}{len(DNAList)} NFT DNA saved to {NFTRecord_save_path}\n"
f"NFT DNA Successfully created. {bcolors.RESET}")
except:
print(f"{bcolors.ERROR} ERROR:\nNFT DNA not sent to NFTRecord.json.\n {bcolors.RESET}")
print(f"{bcolors.ERROR} ERROR:\nNFT DNA not sent to {NFTRecord_save_path}\n {bcolors.RESET}")
if __name__ == '__main__':
stripColorFromName()
returnData()
send_To_Record_JSON()

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@ -4,20 +4,13 @@
import bpy
import os
import sys
import time
import json
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
from src.Main_Generators import metaData
importlib.reload(config)
importlib.reload(metaData)
enableGeneration = False
colorList = []
generationType = None
class bcolors:
'''
@ -29,21 +22,15 @@ class bcolors:
RESET = '\033[0m' # RESET COLOR
if config.runPreview:
config.nftsPerBatch = config.maxNFTsTest
config.maxNFTs = config.maxNFTsTest
config.renderBatch = 1
config.nftName = "TestImages"
def stripColorFromName(name):
return "_".join(name.split("_")[:-1])
def getBatchData():
def getBatchData(batchToGenerate, batch_json_save_path):
"""
Retrieves a given batches data determined by renderBatch in config.py
"""
file_name = os.path.join(config.batch_json_save_path, "Batch{}.json".format(config.renderBatch))
file_name = os.path.join(batch_json_save_path, "Batch{}.json".format(batchToGenerate))
batch = json.load(open(file_name))
NFTs_in_Batch = batch["NFTs_in_Batch"]
@ -52,13 +39,16 @@ def getBatchData():
return NFTs_in_Batch, hierarchy, BatchDNAList
def render_and_save_NFTs():
def render_and_save_NFTs(nftName, maxNFTs, batchToGenerate, batch_json_save_path, nftBatch_save_path, enableImages,
imageFileFormat, enableAnimations, animationFileFormat, enableModelsBlender,
modelFileFormat
):
"""
Renders the NFT DNA in a Batch#.json, where # is renderBatch in config.py. Turns off the viewport camera and
the render camera for all items in hierarchy.
"""
NFTs_in_Batch, hierarchy, BatchDNAList = getBatchData()
NFTs_in_Batch, hierarchy, BatchDNAList = getBatchData(batchToGenerate, batch_json_save_path)
time_start_1 = time.time()
@ -66,7 +56,7 @@ def render_and_save_NFTs():
for a in BatchDNAList:
for i in hierarchy:
for j in hierarchy[i]:
if config.enableGeneration:
if enableGeneration:
"""
Remove Color code so blender recognises the collection
"""
@ -94,20 +84,20 @@ def render_and_save_NFTs():
return dnaDictionary
dnaDictionary = match_DNA_to_Variant(a)
name = config.nftName + "_" + str(x)
name = nftName + "_" + str(x)
print(f"\n{bcolors.OK}|---Generating {x} NFT Files---|{bcolors.RESET}")
print(f"\n{bcolors.OK}|---Generating NFT {x}/{NFTs_in_Batch} ---|{bcolors.RESET}")
print(f"DNA attribute list:\n{dnaDictionary}\nDNA Code:{a}")
for c in dnaDictionary:
collection = dnaDictionary[c]
if not config.enableGeneration:
if not enableGeneration:
bpy.data.collections[collection].hide_render = False
bpy.data.collections[collection].hide_viewport = False
time_start_2 = time.time()
batchFolder = os.path.join(config.nft_save_path, "Batch" + str(config.renderBatch))
batchFolder = os.path.join(nftBatch_save_path, "Batch" + str(batchToGenerate))
imagePath = os.path.join(batchFolder, "Images", name)
animationPath = os.path.join(batchFolder, "Animations", name)
@ -118,46 +108,50 @@ def render_and_save_NFTs():
modelFolder = os.path.join(batchFolder, "Models")
metaDataFolder = os.path.join(batchFolder, "BMNFT_metaData")
if config.enableGeneration:
# Material handling:
if enableGeneration:
for c in dnaDictionary:
collection = dnaDictionary[c]
if stripColorFromName(collection) in config.colorList:
if stripColorFromName(collection) in colorList:
colorVal = int(collection.rsplit("_", 1)[1])-1
collection = stripColorFromName(collection)
bpy.data.collections[collection].hide_render = False
bpy.data.collections[collection].hide_viewport = False
if config.generationType == 'color':
if generationType == 'color':
for activeObject in bpy.data.collections[collection].all_objects:
mat = bpy.data.materials.new("PKHG")
mat.diffuse_color = config.colorList[collection][colorVal]
mat.diffuse_color = colorList[collection][colorVal]
activeObject.active_material = mat
if config.generationType == 'material':
if generationType == 'material':
for activeObject in bpy.data.collections[collection].all_objects:
activeObject.material_slots[0].material = bpy.data.materials[config.colorList[collection][colorVal]]
activeObject.material_slots[0].material = bpy.data.materials[colorList[collection][colorVal]]
else:
collection = stripColorFromName(collection)
bpy.data.collections[collection].hide_render = False
bpy.data.collections[collection].hide_viewport = False
print(f"{bcolors.OK}Generating{bcolors.RESET}")
if config.enableImages:
if enableImages:
print(f"{bcolors.OK}Rendering Image{bcolors.RESET}")
if not os.path.exists(imageFolder):
os.makedirs(imageFolder)
bpy.context.scene.render.filepath = imagePath
bpy.context.scene.render.image_settings.file_format = config.imageFileFormat
bpy.context.scene.render.image_settings.file_format = imageFileFormat
bpy.ops.render.render(write_still=True)
if config.enableAnimations:
if enableAnimations:
print(f"{bcolors.OK}Rendering Animation{bcolors.RESET}")
if not os.path.exists(animationFolder):
os.makedirs(animationFolder)
bpy.context.scene.render.filepath = animationPath
bpy.context.scene.render.image_settings.file_format = config.animationFileFormat
bpy.context.scene.render.image_settings.file_format = animationFileFormat
bpy.ops.render.render(animation=True)
if config.enableModelsBlender:
if enableModelsBlender:
print(f"{bcolors.OK}Generating 3D Model{bcolors.RESET}")
if not os.path.exists(modelFolder):
os.makedirs(modelFolder)
@ -170,29 +164,40 @@ def render_and_save_NFTs():
for obj in bpy.data.collections['Script_Ignore'].all_objects:
obj.select_set(True)
if config.modelFileFormat == 'glb':
bpy.ops.export_scene.gltf(filepath=modelPath,
if modelFileFormat == 'GLB':
bpy.ops.export_scene.gltf(filepath=f"{modelPath}.glb",
check_existing=True,
export_format='GLB',
use_selection=True)
elif config.modelFileFormat == 'fbx':
bpy.ops.export_scene.fbx(filepath=modelPath,
if modelFileFormat == 'GLTF_SEPARATE':
bpy.ops.export_scene.gltf(filepath=f"{modelPath}",
check_existing=True,
export_format='GLTF_SEPARATE',
use_selection=True)
if modelFileFormat == 'GLTF_EMBEDDED':
bpy.ops.export_scene.gltf(filepath=f"{modelPath}.gltf",
check_existing=True,
export_format='GLTF_EMBEDDED',
use_selection=True)
elif modelFileFormat == 'FBX':
bpy.ops.export_scene.fbx(filepath=f"{modelPath}.fbx",
check_existing=True,
use_selection=True)
elif config.modelFileFormat == 'obj':
bpy.ops.export_scene.obj(filepath=modelPath,
elif modelFileFormat == 'OBJ':
bpy.ops.export_scene.obj(filepath=f"{modelPath}.obj",
check_existing=True,
use_selection=True)
elif config.modelFileFormat == 'x3d':
bpy.ops.export_scene.x3d(filepath=modelPath,
elif modelFileFormat == 'X3D':
bpy.ops.export_scene.x3d(filepath=f"{modelPath}.x3d",
check_existing=True,
use_selection=True)
elif modelFileFormat == 'VOX':
bpy.ops.export_vox.some_data(filepath=f"{modelPath}.x3d")
if not os.path.exists(metaDataFolder):
os.makedirs(metaDataFolder)
metaDataDict = {"name": name, "description": config.metaDataDescription, "NFT_DNA": a,
"NFT_Variants": dnaDictionary}
metaDataDict = {"name": name, "NFT_DNA": a, "NFT_Variants": dnaDictionary}
jsonMetaData = json.dumps(metaDataDict, indent=1, ensure_ascii=True)
@ -202,17 +207,16 @@ def render_and_save_NFTs():
print("Completed {} render in ".format(name) + "%.4f seconds" % (time.time() - time_start_2))
x += 1
if config.enableResetViewport:
for a in BatchDNAList:
for i in hierarchy:
for j in hierarchy[i]:
if config.enableGeneration:
j = stripColorFromName(j)
bpy.data.collections[j].hide_render = False
bpy.data.collections[j].hide_viewport = False
for a in BatchDNAList:
for i in hierarchy:
for j in hierarchy[i]:
if enableGeneration:
j = stripColorFromName(j)
bpy.data.collections[j].hide_render = False
bpy.data.collections[j].hide_viewport = False
print("\nAll NFT PNGs rendered, process finished.")
print("Completed all renders in Batch{}.json in ".format(config.renderBatch) + "%.4f seconds" % (time.time() - time_start_1) + "\n")
print(f"\nAll NFTs successfully generated and sent to {nftBatch_save_path}")
print("Completed all renders in Batch{}.json in ".format(batchToGenerate) + "%.4f seconds" % (time.time() - time_start_1) + "\n")
if __name__ == '__main__':

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@ -5,29 +5,10 @@ import bpy
import os
import sys
import random
import importlib
from functools import partial
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
importlib.reload(config)
from src.Main_Generators import DNA_Generator
importlib.reload(DNA_Generator)
if config.runPreview:
config.nftsPerBatch = config.maxNFTsTest
config.maxNFTs = config.maxNFTsTest
config.renderBatch = 1
config.nftName = "TestImages"
def sortRarityWeights(hierarchy, listOptionVariant, DNAList):
def sortRarityWeights(hierarchy, listOptionVariant, DNAList, nftName, maxNFTs, nftsPerBatch, save_path, enableRarity):
"""
Sorts through DataDictionary and appropriately weights each variant based on their rarity percentage set in Blender
("rarity" in DNA_Generator). Then
@ -40,7 +21,7 @@ def sortRarityWeights(hierarchy, listOptionVariant, DNAList):
possibleNums = list(range(1, numChild + 1))
listOptionVariant.append(possibleNums)
for x in range(config.maxNFTs):
for x in range(maxNFTs):
def createDNA():
dnaStr1 = ""
for i in hierarchy:
@ -75,7 +56,7 @@ def sortRarityWeights(hierarchy, listOptionVariant, DNAList):
dnaPushToList = partial(createDNA)
DNASet |= {''.join([dnaPushToList()]) for _ in range(config.maxNFTs - len(DNASet))}
DNASet |= {''.join([dnaPushToList()]) for _ in range(maxNFTs - len(DNASet))}
DNAListRare = list(DNASet)
return DNAListRare

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@ -10,23 +10,15 @@ import os
import sys
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
importlib.reload(config)
def returnCardanoMetaData(name, description, NFT_DNA, NFT_Variants):
def returnCardanoMetaData(name, NFT_DNA, NFT_Variants):
metaDataDictCardano = {"721": {
"<policy_id>": {
name: {
"name": name,
"image": "",
"mediaType": "",
"description": description,
"description": "",
}
},
@ -38,8 +30,8 @@ def returnCardanoMetaData(name, description, NFT_DNA, NFT_Variants):
return metaDataDictCardano
def returnSolanaMetaData(name, description, NFT_DNA, NFT_Variants):
metaDataDictSolana = {"name": name, "symbol": "", "description": description, "seller_fee_basis_points": None,
def returnSolanaMetaData(name, NFT_DNA, NFT_Variants):
metaDataDictSolana = {"name": name, "symbol": "", "description": "", "seller_fee_basis_points": None,
"image": "", "animation_url": "", "external_url": ""}
attributes = []
@ -65,10 +57,10 @@ def returnSolanaMetaData(name, description, NFT_DNA, NFT_Variants):
}
return metaDataDictSolana
def returnErc721MetaData(name, description, NFT_DNA, NFT_Variants):
def returnErc721MetaData(name, NFT_DNA, NFT_Variants):
metaDataDictErc721 = {
"name": name,
"description": description,
"description": "",
"image": "",
"attributes": None,
}

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@ -1,152 +0,0 @@
# Some of the code in this file was generously sponsored by the amazing team over at Rumble Worlds!
# Feel free to check out their amazing project and see how they are using Blend_My_NFTs:
# https://www.rumbleworlds.io/
# Purpose:
# This file imports object files from the 3D_Model_Import folder and exports possible combinations to the 3D_Model_Output folder
import bpy
import os
import re
import sys
import copy
import time
import json
import random
import itertools
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
importlib.reload(config)
class bcolors:
'''
The colour of console messages.
'''
OK = '\033[92m' # GREEN
WARNING = '\033[93m' # YELLOW
ERROR = '\033[91m' # RED
RESET = '\033[0m' # RESET COLOR
def generate3DModels():
'''
This sorter assumes that every object file variant for each attribute has a unique name. Names can include numbers, or
any character value, but must be unique for each object.
'''
time_start = time.time()
def deleteAllObjects():
'''
Deletes all objects in the current scene open in Blender
'''
deleteListObjects = ['MESH', 'CURVE', 'SURFACE', 'META', 'FONT', 'HAIR', 'POINTCLOUD', 'VOLUME', 'GPENCIL',
'ARMATURE', 'LATTICE', 'EMPTY', 'LIGHT', 'LIGHT_PROBE', 'CAMERA', 'SPEAKER']
for o in bpy.context.scene.objects:
for i in deleteListObjects:
if o.type == i:
o.select_set(False)
else:
o.select_set(True)
bpy.ops.object.delete()
deleteAllObjects()
attributeList = os.listdir(config.modelAssetPath)
removeList = [".gitignore", ".DS_Store", "Script_Ignore_Folder"]
attributeList = [x for x in attributeList if (x not in removeList)]
hierarchy = {}
for i in attributeList:
file_unfiltered = os.listdir(os.path.join(config.modelAssetPath, i))
add_to_hierarchy = [x for x in file_unfiltered if x not in removeList]
hierarchy[i] = add_to_hierarchy
def numOfCombinations(hierarchy):
'''
Returns "combinations" the number of all possible NFT combinations.
'''
hierarchyByNum = []
for i in hierarchy:
hierarchyByNum.append(len(hierarchy[i]))
combinations = 1
for i in hierarchyByNum:
combinations = combinations*i
if combinations == 0:
print(bcolors.FAIL + "\nERROR:" + bcolors.RESET)
print("The number of all possible combinations is equal to 0. Please review your collection hierarchy \n "
"and ensure it is formatted correctly.")
return combinations
combinations = numOfCombinations(hierarchy)
allCombinationsNames = list(itertools.product(*hierarchy.values()))
listToGenerate = []
while len(listToGenerate) < config.maxNFTs:
randCombo = random.choice(allCombinationsNames)
if randCombo not in listToGenerate:
listToGenerate.append(randCombo)
count = 1
for i in listToGenerate:
if os.path.isdir(config.model_Script_Ignore_Path):
Script_Ignore_Folder = os.listdir(config.model_Script_Ignore_Path)
for h in Script_Ignore_Folder:
fileName, fileExtension = os.path.splitext(h)
if fileExtension == ".glb":
bpy.ops.import_scene.gltf(filepath=os.path.join(config.model_Script_Ignore_Path, h))
elif fileExtension == ".fbx":
bpy.ops.import_scene.fbx(filepath=os.path.join(config.model_Script_Ignore_Path, h))
elif fileExtension == ".obj":
bpy.ops.import_scene.obj(filepath=os.path.join(config.model_Script_Ignore_Path, h))
elif fileExtension == ".x3d":
bpy.ops.import_scene.obj(filepath=os.path.join(config.model_Script_Ignore_Path, h))
for j in i:
def getParent(hierarchy):
for x in hierarchy:
for y in hierarchy[x]:
if y == j:
return x
parent = getParent(hierarchy)
path2 = os.path.join(config.modelAssetPath, parent, j)
fileName, fileExtension = os.path.splitext(j)
if fileExtension == ".glb":
bpy.ops.import_scene.gltf(filepath=path2)
elif fileExtension == ".fbx":
bpy.ops.import_scene.fbx(filepath=path2)
elif fileExtension == ".obj":
bpy.ops.import_scene.obj(filepath=path2)
elif fileExtension == ".x3d":
bpy.ops.import_scene.obj(filepath=path2)
if config.modelFileFormat == 'glb':
bpy.ops.export_scene.gltf(filepath=os.path.join(config.model_save_path, config.nftName + str(count)),
check_existing=True, export_format='GLB')
elif config.modelFileFormat == 'fbx':
bpy.ops.export_scene.fbx(filepath=os.path.join(config.model_save_path, config.nftName + str(count)),
check_existing=True)
elif config.modelFileFormat == 'obj':
bpy.ops.export_scene.obj(filepath=os.path.join(config.model_save_path, config.nftName + str(count)),
check_existing=True)
elif config.modelFileFormat == 'x3d':
bpy.ops.export_scene.x3d(filepath=os.path.join(config.model_save_path, config.nftName + str(count)),
check_existing=True)
deleteAllObjects()
count += 1
print("Generated ." + str(config.modelFileFormat) + " files in %.4f seconds" % (time.time() - time_start))
if __name__ == '__main__':
generate3DModels()

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# Purpose:
# This file checks NFTRecord for duplicate NFT DNA and returns any found in the console.
# Note - This file is provided for transparency, it is impossible for duplicates to be made with the current code in
# DNA_Generator.py.
import bpy
import os
import sys
import json
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
importlib.reload(config)
class bcolors:
'''
The colour of console messages.
'''
OK = '\033[92m' # GREEN
WARNING = '\033[93m' # YELLOW
ERROR = '\033[91m' # RED
RESET = '\033[0m' # RESET COLOR
def checkIfBatchDup():
file_name = os.path.join(config.save_path, "NFTRecord.json")
DataDictionary = json.load(open(file_name))
DNAList = DataDictionary["DNAList"]
def countDups(thelist):
numOfDupDNA = 0
seen = set()
for x in thelist:
if x in seen:
print(x)
numOfDupDNA += 1
seen.add(x)
return numOfDupDNA
duplicates = countDups(DNAList)
return duplicates
def checkDups():
print(f"NFTRecord.json contains {checkIfBatchDup()} duplicate NFT DNA.")
if __name__ == '__main__':
checkDups()

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# Purpose:
# This file allows you to preview some calculations/numbers generated when you run main. It allows you to make adjustments
# to the config.py file before running main.py in case there are any issues.
import bpy
import os
import sys
import platform
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src.Main_Generators import DNA_Generator
from src.Utility_Scripts import RenderTest
importlib.reload(DNA_Generator)
importlib.reload(RenderTest)
class bcolors:
'''
The colour of console messages.
'''
OK = '\033[92m' # GREEN
WARNING = '\033[93m' # YELLOW
ERROR = '\033[91m' # RED
RESET = '\033[0m' # RESET COLOR
def printImportant():
from src import config
importlib.reload(config)
listAllCollections, attributeCollections, attributeCollections1, hierarchy, possibleCombinations = DNA_Generator.returnData()
print(bcolors.OK + "--------YOU ARE RUNNING PREVIEW.py--------" + bcolors.RESET)
print("*Please Note: Running this test will have no effect on your config.py settings or the state of Blend_My_NFTs.")
print("")
print(bcolors.WARNING + "---config.py SETTINGS---" + bcolors.RESET)
print("NFTs Per Batch(nftsPerBatch): " + bcolors.WARNING + str(config.nftsPerBatch) + bcolors.RESET)
print("Image Name(imageName): " + bcolors.WARNING + config.nftName + bcolors.RESET)
print("Image File Format(imageFileFormat): " + bcolors.WARNING + config.imageFileFormat + bcolors.RESET)
print("Operating system: " + bcolors.WARNING + str(platform.system()) + bcolors.RESET)
print("Save Path(save_path): " + bcolors.WARNING + config.save_path + bcolors.RESET)
print("Possible DNA Combinations(possibleCombinations): " + bcolors.WARNING + str(possibleCombinations) + bcolors.RESET)
remainder = config.maxNFTs % config.nftsPerBatch
Number_Of_Possible_Batches = (config.maxNFTs - remainder) / config.nftsPerBatch
print("Max number of NFTs(maxNFTs): " + bcolors.WARNING + str(config.maxNFTs) + bcolors.RESET)
print("Number of possible batches: " + bcolors.WARNING + str(Number_Of_Possible_Batches) + bcolors.RESET)
if remainder > 0:
print("One incomplete batch will have " + bcolors.WARNING + str(remainder) + bcolors.RESET + " DNA in it.")
elif remainder == 0:
print("There is no incomplete batch with this combination.")
print("\nSettings:")
print("Reset viewport(enableResetViewport): " + bcolors.WARNING + str(config.enableResetViewport) + bcolors.RESET)
print("3D Models(enable3DModels): " + bcolors.WARNING + str(config.enable3DModels) + bcolors.RESET)
print("")
if config.enable3DModels:
print("3D Model File Format(objectFormatExport): " + bcolors.WARNING + str(config.modelFileFormat) + bcolors.RESET)
print("Generate Colours(enableGeneration): " + bcolors.WARNING + str(config.enableGeneration) + bcolors.RESET)
print("")
print("Colour List(colorList): \n" + bcolors.WARNING + str(config.colorList) + bcolors.RESET)
print("")
print("Rarity(enableRarity): " + bcolors.WARNING + str(config.enableRarity) + bcolors.RESET)
if not config.enable3DModels:
RenderTest.imageRenderTest()
if config.enable3DModels:
print(f"{bcolors.WARNING} Cannot run Render Test when enable3DModels = True {bcolors.RESET}")
if __name__ == '__main__':
printImportant()
# To run the following, run main.py with enableRarity = True in config.py:
# Somehow cross check percentage rarity of variant number in NFTRecord.json, iterate through all of them. Then print the
# percentage values that were generated relative to the ones set in .blend

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# Purpose:
# This file is run after the NFTRecord.json and Batch#.json files have been generated. It checks the percentage
# each variant is chosen in the NFTRecord, then compares it with its rarity percentage set in the .blend file.
# Note - This file is provided for transparency. The accuracy of the rarity values you set in your .blend file as outlined
# in the README.md file are dependent on the maxNFTs, and the maximum number of combinations of your NFT collection.
import bpy
import os
import sys
import json
import importlib
from collections import Counter
from collections import defaultdict
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
importlib.reload(config)
class bcolors:
'''
The colour of console messages.
'''
OK = '\033[92m' # GREEN
WARNING = '\033[93m' # YELLOW
ERROR = '\033[91m' # RED
RESET = '\033[0m' # RESET COLOR
def getRealRarity():
file_name = os.path.join(config.save_path, "NFTRecord.json")
DataDictionary = json.load(open(file_name))
numNFTsGenerated = DataDictionary["numNFTsGenerated"]
hierarchy = DataDictionary["hierarchy"]
DNAList = DataDictionary["DNAList"]
attributeNames = []
numDict = defaultdict(list)
for i in hierarchy:
attributeNames.append(i)
for i in DNAList:
dnaSplitList = i.split("-")
for j, k in zip(dnaSplitList, attributeNames):
numDict[k].append(j)
numDict = dict(numDict)
for i in numDict:
count = dict(Counter(numDict[i]))
numDict[i] = count
fullNumName = {}
for i in hierarchy:
fullNumName[i] = {}
for j in hierarchy[i]:
variantNum = hierarchy[i][j]["number"]
fullNumName[i][variantNum] = j
completeData = {}
for i, j in zip(fullNumName, numDict):
x = {}
for k in fullNumName[i]:
for l in numDict[j]:
if l == k:
name = fullNumName[i][k]
num = numDict[j][l]
x[name] = [(str(round(((num/numNFTsGenerated)*100), 2)) + "%"), str(num)]
completeData[i] = x
print(completeData)
print(f"{bcolors.OK} Rarity Checker is active. These are the percentages for each variant per attribute you set in your .blend file:{bcolors.RESET}")
for i in completeData:
print(i + ":")
for j in completeData[i]:
print(" " + j + ": " + completeData[i][j][0] + " Occurrences: " + completeData[i][j][1])
jsonMetaData = json.dumps(completeData, indent=1, ensure_ascii=True)
with open(os.path.join(config.save_path, "RarityData.json"), 'w') as outfile:
outfile.write(jsonMetaData + '\n')
path = os.path.join(config.save_path, "RarityData.json")
print(f"{bcolors.OK}Rarity Data has been saved to {path}. {bcolors.RESET}")
return
if __name__ == '__main__':
getRealRarity()

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# Purpose:
# This file allows you to test the time it takes to render an image, then calculate how long it will take to render all
# images specified in maxNFTs in config.py.
import bpy
import os
import sys
import copy
import time
import shutil
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
from src import config
from src.Main_Generators import Batch_Sorter, DNA_Generator, Exporter
importlib.reload(config)
importlib.reload(DNA_Generator)
importlib.reload(Batch_Sorter)
importlib.reload(Exporter)
class bcolors:
'''
The colour of console messages.
'''
OK = '\033[92m' # GREEN
WARNING = '\033[93m' # YELLOW
ERROR = '\033[91m' # RED
RESET = '\033[0m' # RESET COLOR
def imageRenderTest():
originalMaxNFTs = copy.deepcopy(config.maxNFTs)
config.nftsPerBatch = config.maxNFTsTest
config.maxNFTs = config.maxNFTsTest
config.renderBatch = 1
config.nftName = "TestImages"
print(bcolors.WARNING + "\n---RUNNING IMAGE RENDER TEST---\n" + bcolors.RESET)
print("This test will render one image, record the time it took, then calculate the time to render")
print("the maxNFTs specified in config.py based on that image.")
print("*Please Note: All config.py settings will be preserved and the test image and batch folder will be")
print("deleted.")
print(bcolors.WARNING + "\n---RUNNING DNA_Generator.py SHELL---\n" + bcolors.RESET)
DNA_Generator.send_To_Record_JSON()
print(bcolors.WARNING + "\n---RUNNING Batch_Sorter.py SHELL---\n" + bcolors.RESET)
Batch_Sorter.makeBatches()
fullRenderTime = time.time()
print(bcolors.WARNING + "\n---RUNNING Exporter.py SHELL---\n" + bcolors.RESET)
Exporter.render_and_save_NFTs()
print("Image(s) rendered in %.4f seconds" % (time.time() - fullRenderTime))
print(bcolors.WARNING + "\nTime to render " + str(originalMaxNFTs) + " NFT Images: " + bcolors.RESET)
renderMaxTime = str(((int(time.time() - fullRenderTime)) / int(config.maxNFTs)) * originalMaxNFTs) + "s"
print(renderMaxTime)
os.remove(os.path.join(config.batch_json_save_path, "Batch1.json"))
os.remove(os.path.join(config.save_path, "NFTRecord.json"))
shutil.rmtree(os.path.join(config.nft_save_path, "Batch1"))
if __name__ == '__main__':
imageRenderTest()

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# Purpose:
# This file determines the settings of your NFT collection. Please read the README.md file to understand how to run this
# program.
nftName = '' # The name of the NFT image produces by PNG-Generator
maxNFTs = 0 # The maximum number of NFTs you want to generate.
nftsPerBatch = 0 # Number of NFTs per batch (Batches split maxNFTs into smaller manageable chunks)
renderBatch = 1 # The batch number to render in Exporter.py
imageFileFormat = '' # Dictate the image extension when Blender renders the images
# Type the exact name provided below in the '' above:
# JPEG - Exports the .jpeg format
# PNG - Exports the .png format
# Visit https://docs.blender.org/api/current/bpy.types.Image.html#bpy.types.Image.file_format
# for a complete list of file formats supported by Blender. (Only use Image file extensions with imageFileFormat, 3D
# object, or animation file extensions will cause the program to fail)
animationFileFormat = '' # Dictate the animations extension when Blender renders and compiles the images
# Type the exact name provided below in the '' above:
# AVI_JPEG - Exports the .avi jpeg format
# AVI_RAW - Exports the .avi raw format
# FFMPEG - Encodes the video using ffmpeg. Set your encoding settings in the Output Properties in Blender. Default is
# medium-quality .mp4 video.
# Visit https://docs.blender.org/api/current/bpy.types.Image.html#bpy.types.Image.file_format
# for a complete list of file formats supported by Blender. (These are the Blender only supported animation formats)
modelFileFormat = '' # The file format of the objects you would like to export
# Type the exact name provided below in the '' above:
# fbx - The .FBX file format
# glb - The .glb file format
# obj - The .obj file format *Exports both a .obj and a .mtl files for the same generated object
# x3d - The .x3d file format
# Visit https://docs.blender.org/api/current/bpy.ops.export_scene.html?highlight=export_scene#module-bpy.ops.export_scene
# for a complete list of object formats supported by Blender.
# The path to Blend_My_NFTs folder:
save_path_mac = ''
save_path_linux = ''
save_path_windows = r''
# Place the path in the '', e.g: save_path_mac = '/Users/Path/to/Blend_My_NFTs'
# Example mac: /Users/Path/to/Blend_My_NFTs
# Example linux: /Users/Path/to/Blend_My_NFTs
# Example windows: C:\Users\Path\to\Blend_My_NFTs
# Set to True to generate images or 3D models depending on your settings below when main.py is run in Blender. Only works
# if you have already generated NFTRecord.json and all batches.
enableExporter = False
enableImages = False # Renders and exports Images when main.py is run in Blender if enableExporter = True
enableAnimations = False # Renders and exports Animations when main.py is run in Blender if enableExporter = True
enableModelsBlender = False # Generates 3D models when main.py is run in Blender if enableExporter = True
# ^^ Generates models with .blend file NOT external object library.
# Enables Rarity_Sorter to weigh NFT DNA attributes and variants:
enableRarity = False
# generateColors must be turned off and enableMaxNFTs must be turned on.
# True = include weighted rarity percentages in NFTRecord.json calculations,
# False = Pure random selection of variants
# Note: The more attributes and variants you have, and by nature the more possible NFT combinations you have, the more
# accurate your percentages will be.
refactorBatchOrder = False # When set to True, sorts, renames, and moves all NFTs files in all batches in NFT_Output
# folder to the Complete_Collection folder.
# After you generate all batches move them all to one computer and place them in the NFT_Output folder of Blend_My_NFTs.
# Run main.py with refactorBatchOrder set to True and all NFT files will be renamed and sorted into a folder called Complete_Collection.
# Meta Data Templates - Run after refactorBatchOrder
# Set the following to True to generate the format of the Meta Data template for your NFTs blockchain. (You can use multiple)
cardanoMetaData = False # Cardano - Format Source: https://cips.cardano.org/cips/cip25/
solanaMetaData = False # Solana - Format Source: https://docs.metaplex.com/nft-standard
erc721MetaData = False # Ethereum ERC721 - Format Source: https://docs.opensea.io/docs/metadata-standards
turnNumsOff = True # When set to True, turns off the extension numbers representing order and rarity from the names of
# variants in meta Data.
# NOTE: This is just the information Blend_My_NFTs can provide, you will have to add policy ID, URI information, etc
# yourself when you upload and mint your NFT collection.
# DISCLAIMER: These are only templates based on the common standards for the given blockchain, you will have to modify
# and fill them in with a script of your own when you mint your NFT collection. These metadata templates are only provided
# for your convenience and are as accurate to the standards above that I could make them.
metaDataDescription = '' # The description of your NFT that will be inserted into its meta data
# ADVANCED FEATURES:
### Select colour or material.###
# Object generation options:
enableGeneration = False # When set to true this applies the sets of colors listed below to the objects in the collections named below
generationType = 'material' # You can either set 'color' or 'material' here. Type you set will correspond to following options.
# generationType = 'material' mode is experimental. Be sure that you back-up your file.
# You need to set materials as "fake user". Do not miss this step. Or your materials going to vanish after running this script.
# The collections below are RGBA Color values. You can put as many or as little color values in these lists as you would like.
# You can create any number of rgbaColorLists and assign them to any number of collections that you would like.
# Each set of rgbaColorList1 assigned to an object by collection name in the colorList will act like an attribute and create a unique variant of that item.
rgbaColorList1 = [(1, 0, 0, 1), (0, 1, 0, 1), (0, 0, 1, 1), (1, 1, 1, 1), (.5, 0, 0, 1)]
rgbaColorList2 = [(1, 1, 0, 1), (0, 1, 1, 1), (.5, 0, 1, 1), (.5, 1, 1, 1), (0, .5, 0, 1)]
# The following color list can be as long or as short as you want it to be.
# To use this all you need to do is place the name of the collection you want colored in the "" and the set of colors you want to apply to it after the :
# The collection named can only contain objects and not sub collections. Every object in the collection will be set to the colors you assigned above for each attribute
if generationType == 'color': # Do not change this line.
colorList = {"Cube_1_33": rgbaColorList1, "Sphere_4_0": rgbaColorList2}
### These materials must be in your Current Files' Materials. Make sure that you've set your materials as "fake user". ###
# The collections below are Current Files' Materials. You can put as many or as little materials values in these lists as you would like.
# You can create any number of materialLists and assign them to any number of collections that you would like.
# Each set of materialLists assigned to an object by collection name in the materialList will act like an attribute and create a unique variant of that item.
materialList1 = ['Material1', 'Material1.001', 'Material1.002', 'Material1.003', 'Material1.004']
materialList2 = ['Material2', 'Material2.001', 'Material2.002', 'Material2.003', 'Material2.004']
# The following material list can be as long or as short as you want it to be.
# To use this all you need to do is place the name of the collection you want materials assigned in the "" and the set of materials you want to apply to it after the :
# The collection named can only contain objects and not sub collections. Every object in the collection will be set to the materials you assigned above for each attribute
if generationType == 'material': # Do not change this line.
colorList = {"Cube_1_33": materialList1, "Sphere_2_0": materialList2}
enableResetViewport = True # If True: turns all viewport and render cameras on after Image_Generator is finished operations
# 3D model imports and exports variables:
enable3DModels = False # Set to True if using external models as attributes instead of Blender objects
# ^Does not work with colour options and rarity, both must be turned off in order to use this.
# Tests and Previews:
# Preview and render test settings:
# Set to True to run Preview test, set to False to stop test. Run main.py in Blender to initiate the test. Results will
# be displayed in the Blender terminal or console. enableExporter must be False, and enableImages and/or enableModelsBlender
# to run a preview.
runPreview = False
maxNFTsTest = 5 # Increase to get a more accurate reading of the render time. The number of images generated in the render test.
# Turn this on when you run main.py to generate NFTRecord.json and appropriate batches to confirm there are no duplicate
# NFT DNA. Note - This file is provided for transparency, it is impossible for duplicates to be made with the current code in
# DNA_Generator.py.
checkDups = False
# Turn this on when running main.py to generate NFTRecord.json and Batch#.json files to record the rarity percentage of each variant.
# Note - This file is provided for transparency. The accuracy of the rarity values you set in your .blend file as outlined
# in the README.md file are dependent on the maxNFTs, and the maximum number of combinations of your NFT collection.
checkRarity = False
# Utilities - DO NOT TOUCH:
import platform
import os
# Save_path utilities and os compatibility
mac = 'Darwin'
linux = 'Linux'
windows = 'Windows'
save_path = None
if platform.system() == mac:
save_path = save_path_mac
elif platform.system() == linux:
save_path = save_path_linux
elif platform.system() == windows:
save_path = save_path_windows
# Paths to folders
batch_json_save_path = os.path.join(save_path, 'Batch_Json_files') # The output path for batches generated by Batch_Sorter.py
nft_save_path = os.path.join(save_path, 'NFT_Output') # The output path for images generated by Exporter.py
modelAssetPath = os.path.join(save_path, "3D_Model_Input") # The input path for 3D models
model_save_path = os.path.join(save_path, "3D_Model_Output") # The output path for 3D models generated by Model_Generator.py
model_Script_Ignore_Path = os.path.join(modelAssetPath, "Script_Ignore_Folder") # The path to the Script_Ignore_Folder for 3D models
# error handling #
if modelFileFormat not in ['fbx', 'glb', 'obj', 'x3d'] and enable3DModels:
raise ValueError("Output format in `objectFormatExport` can only be 'fbx', 'glb', 'obj', 'x3d'.")

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# Purpose:
# This file is the main file you run in Blender.
import bpy
import os
import sys
import importlib
dir = os.path.dirname(bpy.data.filepath)
sys.path.append(dir)
sys.modules.values()
class bcolors:
'''
The colour of console messages.
'''
OK = '\033[92m' # GREEN
WARNING = '\033[93m' # YELLOW
ERROR = '\033[91m' # RED
RESET = '\033[0m' # RESET COLOR
try:
from src import config
from src.Utility_Scripts import DuplicateChecker, RenderTest, Preview, BatchRefactorer, RarityChecker
from src.Model_Generators import Model_Generator
from src.Main_Generators import Batch_Sorter, DNA_Generator, Exporter
except:
print(bcolors.ERROR + "ERROR:\nBlender cannot find the Blend_My_NFTs folder." + bcolors.RESET + "\nChange the "
"directory of your .blend file to be inside the Blend_My_NFTs-main folder. For more details see the README file: "
"https://github.com/torrinworx/Blend_My_NFTs\n\n")
importlib.reload(config)
importlib.reload(DuplicateChecker)
importlib.reload(Model_Generator)
importlib.reload(Batch_Sorter)
importlib.reload(DNA_Generator)
importlib.reload(Preview)
importlib.reload(RenderTest)
importlib.reload(Exporter)
importlib.reload(BatchRefactorer)
importlib.reload(RarityChecker)
if not config.enableExporter and not config.runPreview and not config.refactorBatchOrder:
if config.enable3DModels:
Model_Generator.generate3DModels()
if not config.enable3DModels:
DNA_Generator.send_To_Record_JSON()
Batch_Sorter.makeBatches()
if config.checkDups:
DuplicateChecker.checkDups()
if config.enableExporter and not config.runPreview and not config.refactorBatchOrder:
Exporter.render_and_save_NFTs()
if config.runPreview:
Preview.printImportant()
if config.refactorBatchOrder:
BatchRefactorer.reformatNFTCollection()
if config.checkRarity:
RarityChecker.getRealRarity()