Nick088 commited on
Commit
9bbeb12
β€’
1 Parent(s): bdbf111

Update app.py

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Files changed (1) hide show
  1. app.py +2 -6
app.py CHANGED
@@ -26,20 +26,16 @@ def generate(
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  output_image_name,
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  verbose
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  ):
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-
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-
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  if verbose:
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  verbose_opt = '--verbose'
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  else:
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  verbose_opt = ''
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-
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  if stable_diffusion_model == '2':
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  sd_model = "minecraft-skins"
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  else:
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  sd_model = "minecraft-skins-sdxl"
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-
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  subprocess.run(["python", f"Python_Scripts/{sd_model}.py", prompt, num_inference_steps, guidance_scale, num_images_per_prompt, model_precision_type, seed, output_image_name, verbose_opt])
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  return os.path.join(f"output_minecraft_skins/{output_image_name}")
@@ -52,7 +48,7 @@ stable_diffusion_model = gr.Dropdown(["2", "xl"], interactive=True, label="Stabl
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  num_inference_steps = gr.Number(value=50, minimum=1, precision=0, interactive=True, label="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")
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  guidance_scale = gr.Number(value=7.5, minimum=0.1, interactive=True, label="Guidance Scale", info="How closely the generated image adheres to the prompt")
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-
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  num_images_per_prompt = gr.Number(value=1, minimum=1, precision=0, interactive=True, label="Images Per Prompt", info="The number of images to make with the prompt")
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  model_precision_type = gr.Dropdown(["fp16", "fp32"], value="fp16", interactive=True, label="Model Precision Type", info="The precision type to load the model, like fp16 which is faster, or fp32 which gives better results")
@@ -85,4 +81,4 @@ gr.Interface(
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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>Hugging Face Space made by [Nick088](https://linktr.ee/Nick088)",
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  examples=examples,
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  concurrency_limit=20,
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- ).launch(show_api=False)
 
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  output_image_name,
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  verbose
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  ):
 
 
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  if verbose:
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  verbose_opt = '--verbose'
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  else:
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  verbose_opt = ''
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  if stable_diffusion_model == '2':
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  sd_model = "minecraft-skins"
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  else:
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  sd_model = "minecraft-skins-sdxl"
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  subprocess.run(["python", f"Python_Scripts/{sd_model}.py", prompt, num_inference_steps, guidance_scale, num_images_per_prompt, model_precision_type, seed, output_image_name, verbose_opt])
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  return os.path.join(f"output_minecraft_skins/{output_image_name}")
 
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  num_inference_steps = gr.Number(value=50, minimum=1, precision=0, interactive=True, label="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")
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  guidance_scale = gr.Number(value=7.5, minimum=0.1, interactive=True, label="Guidance Scale", info="How closely the generated image adheres to the prompt")
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+
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  num_images_per_prompt = gr.Number(value=1, minimum=1, precision=0, interactive=True, label="Images Per Prompt", info="The number of images to make with the prompt")
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  model_precision_type = gr.Dropdown(["fp16", "fp32"], value="fp16", interactive=True, 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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  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>Hugging Face Space made by [Nick088](https://linktr.ee/Nick088)",
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  examples=examples,
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  concurrency_limit=20,
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+ ).launch(show_api=False)