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Browse files- README.md +12 -7
- app.py +79 -0
- gitattributes +35 -0
- packages.txt +1 -0
- requirements.txt +8 -0
README.md
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---
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title:
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned:
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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title: Minecraft Skin Generator
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emoji: ππ¨π¨βπΌ
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colorFrom: green
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colorTo: purple
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sdk: gradio
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sdk_version: 4.36.0
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app_file: app.py
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pinned: true
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license: gpl-3.0
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short_description: Stable Diffusion Finetuned Version
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models:
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- monadical-labs/minecraft-skin-generator
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- monadical-labs/minecraft-skin-generator-sdxl
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import subprocess
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import os
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import gradio as gr
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import torch
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import numpy as np
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from PIL import Image, ImageEnhance
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import spaces
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if torch.cuda.is_available():
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device = "cuda"
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print("Using GPU")
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else:
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device = "cpu"
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print("Using CPU")
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MAX_SEED = np.iinfo(np.int32).max
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subprocess.run(["git", "clone", "https://github.com/Nick088Official/Stable_Diffusion_Finetuned_Minecraft_Skin_Generator.git"])
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os.chdir("Stable_Diffusion_Finetuned_Minecraft_Skin_Generator")
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@spaces.GPU(duration=75)
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def run_inference(prompt, stable_diffusion_model, num_inference_steps, guidance_scale, model_precision_type, seed, filename, model_3d, verbose):
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# inference
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if stable_diffusion_model == '2':
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sd_model = "minecraft-skins"
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elif stable_diffusion_model == 'xl':
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sd_model = "minecraft-skins-sdxl"
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inference_command = f"python Scripts/{sd_model}.py '{prompt}' {num_inference_steps} {guidance_scale} {model_precision_type} {seed} {filename} {'--model_3d' if model_3d else ''} {'--verbose' if verbose else ''}"
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os.system(inference_command)
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# view it also as 3d model or not output
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if model_3d:
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return os.path.join(f"output_minecraft_skins/{filename}"), os.path.join(f"output_minecraft_skins/{filename}_3d_model.glb")
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else:
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return os.path.join(f"output_minecraft_skins/{filename}"), None
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# Define Gradio UI components
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prompt = gr.Textbox(label="Your Prompt", info="What the Minecraft Skin should look like")
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stable_diffusion_model = gr.Dropdown(['2', 'xl'], value="xl", label="Stable Diffusion Model", info="Choose which Stable Diffusion Model to use, xl understands prompts better")
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num_inference_steps = gr.Slider(label="Number of Inference Steps", info="The number of denoising steps of the image. More denoising steps usually lead to a higher quality image at the cost of slower inference", minimum=1, maximum=50, value=25, step=1)
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guidance_scale = gr.Slider(label="Guidance Scale", info="Controls how much the image generation process follows the text prompt. Higher values make the image stick more closely to the input text.", minimum=0.0, maximum=10.0, value=7.5, step=0.1)
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model_precision_type = gr.Dropdown(["fp16", "fp32"], value="fp16", label="Model Precision Type", info="The precision type to load the model, like fp16 which is faster, or fp32 which is more precise but more resource consuming")
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seed = gr.Slider(value=42, minimum=0, maximum=MAX_SEED, step=1, label="Seed", info="A starting point to initiate the generation process, put 0 for a random one")
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filename = gr.Textbox(label="Output Image Name", info="The name of the file of the output image skin, keep the.png", value="output-skin.png")
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model_3d = gr.Checkbox(label="See as 3D Model too", info="View the generated skin as a 3D Model too", value=True)
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verbose = gr.Checkbox(label="Verbose Output", info="Produce more detailed output while running", value=False)
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# Create the Gradio interface
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gr.Interface(
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fn=run_inference,
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inputs=[
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prompt,
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stable_diffusion_model,
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num_inference_steps,
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guidance_scale,
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model_precision_type,
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seed,
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filename,
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model_3d,
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verbose
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],
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outputs=[
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gr.Image(label="Generated Minecraft Skin Image Asset", elem_classes="pixelated checkered"),
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gr.Model3D(clear_color=[0.0, 0.0, 0.0, 0.0], label="3D Model View of the Skin")
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],
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title="Minecraft Skin Generator",
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description="Make AI generated Minecraft Skins by a Finetuned Stable Diffusion Version!<br>Github Repository & Model used: https://github.com/Nick088Official/Stable_Diffusion_Finetuned_Minecraft_Skin_Generator<br>Credits: [Monadical-SAS](https://github.com/Monadical-SAS/minecraft_skin_generator) (Creators of the model), [Nick088](https://linktr.ee/Nick088) (Improving usage of the model), daroche (helping me fix the 3d model texture isue), [Brottweiler](https://gist.github.com/Brottweiler/483d0856c6692ef70cf90bf1a85ce364)(script to fix the 3d model texture), [not-holar](https://huggingface.co/not-holar) (made the rendering of the image asset in the web ui look pixelated like minecraft and have a checkered background),[meew](https://huggingface.co/spaces/meeww/Minecraft_Skin_Generator/blob/main/models/player_model.glb) (Minecraft Player 3d model) <br> [![Discord](https://img.shields.io/discord/1198701940511617164?color=%23738ADB&label=Discord&style=for-the-badge)](https://discord.gg/AQsmBmgEPy)",
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css=".pixelated {image-rendering: pixelated} .checkered img {background-image: url(\'data:image/svg+xml,<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"2\" height=\"2\" fill-opacity=\".15\"><rect x=\"1\" width=\"1\" height=\"1\"/><rect y=\"1\" width=\"1\" height=\"1\"/></svg>\');background-size: 16px;}"
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).launch(show_api=False, share=True)
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gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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packages.txt
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imagemagick
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requirements.txt
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torch
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transformers
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diffusers
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accelerate
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gradio==4.36.0
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scipy
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Pillow===9.0.1
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pygltflib
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