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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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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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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() |
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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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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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if model_3d: |
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return os.path.join(f"output_minecraft_skins/{filename}"), glb_pathos.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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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.Number(label="Number of Inference Steps", precision=0, value=25) |
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guidance_scale = gr.Number(minimum=0.1, value=7.5, label="Guidance Scale", 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") |
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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 gives better results") |
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seed = gr.Number(value=42, label="Seed", info="A starting point to initiate generation, 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 in 3D", info="View the generated skin as a 3D Model", 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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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"), |
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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>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, [meew](https://huggingface.co/spaces/meeww/Minecraft_Skin_Generator/blob/main/models/player_model.glb) (Minecraft Player 3d model)", |
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).launch(show_api=False, share=True) |
