Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -26,20 +26,16 @@ def generate(
|
|
26 |
output_image_name,
|
27 |
verbose
|
28 |
):
|
29 |
-
|
30 |
-
|
31 |
if verbose:
|
32 |
verbose_opt = '--verbose'
|
33 |
else:
|
34 |
verbose_opt = ''
|
35 |
|
36 |
-
|
37 |
if stable_diffusion_model == '2':
|
38 |
sd_model = "minecraft-skins"
|
39 |
else:
|
40 |
sd_model = "minecraft-skins-sdxl"
|
41 |
|
42 |
-
|
43 |
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])
|
44 |
|
45 |
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
|
|
52 |
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")
|
53 |
|
54 |
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")
|
55 |
-
|
56 |
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")
|
57 |
|
58 |
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(
|
|
85 |
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)",
|
86 |
examples=examples,
|
87 |
concurrency_limit=20,
|
88 |
-
).launch(show_api=False)
|
|
|
26 |
output_image_name,
|
27 |
verbose
|
28 |
):
|
|
|
|
|
29 |
if verbose:
|
30 |
verbose_opt = '--verbose'
|
31 |
else:
|
32 |
verbose_opt = ''
|
33 |
|
|
|
34 |
if stable_diffusion_model == '2':
|
35 |
sd_model = "minecraft-skins"
|
36 |
else:
|
37 |
sd_model = "minecraft-skins-sdxl"
|
38 |
|
|
|
39 |
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])
|
40 |
|
41 |
return os.path.join(f"output_minecraft_skins/{output_image_name}")
|
|
|
48 |
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")
|
49 |
|
50 |
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")
|
51 |
+
|
52 |
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")
|
53 |
|
54 |
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")
|
|
|
81 |
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)",
|
82 |
examples=examples,
|
83 |
concurrency_limit=20,
|
84 |
+
).launch(show_api=False)
|