Spaces:
Running on Zero
Running on Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -3,28 +3,25 @@ import spaces
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import torch
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from model import ModelHandler
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from generator import Generator
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# --- IMPORT CONFIG ---
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from config import Config
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# 1. Initialize Models Globally
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# ZeroGPU will move them to VRAM inside the @spaces.GPU function
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print("Initializing Application...")
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handler = ModelHandler()
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handler.load_models()
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gen = Generator(handler)
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# 2. Define GPU-enabled Inference Function
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@spaces.GPU(duration=20)
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def process_img(
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image,
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prompt,
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negative_prompt,
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cfg_scale,
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steps,
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img_strength,
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depth_strength,
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edge_strength,
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# tile_strength, # <-- REMOVED
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seed
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):
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if image is None:
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@@ -32,17 +29,15 @@ def process_img(
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try:
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print("--- Starting Generation ---")
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# Pass all parameters to the generator
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result = gen.predict(
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image,
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prompt,
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negative_prompt=negative_prompt,
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guidance_scale=
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num_inference_steps=steps,
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img2img_strength=img_strength,
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depth_strength=depth_strength,
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lineart_strength=edge_strength,
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# tile_strength=tile_strength, # <-- REMOVED
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seed=seed
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)
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print("--- Generation Complete ---")
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@@ -53,11 +48,11 @@ def process_img(
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raise gr.Error(f"An error occurred: {str(e)}")
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# 3. Build Gradio Interface
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with gr.Blocks(title="Face To
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gr.Markdown(
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"""
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# 🎮 Face to
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Upload any image. If there is a face, we'll keep the identity. If not, we'll
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"""
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)
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@@ -67,13 +62,13 @@ with gr.Blocks(title="Face To Pixel Art", theme=gr.themes.Soft()) as demo:
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prompt = gr.Textbox(
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label="Prompt (Optional)",
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placeholder="Leave empty for auto-captioning...",
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info="The trigger words '
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)
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negative_prompt = gr.Textbox(
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label="Negative Prompt (Optional)",
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placeholder="e.g., blurry, text, watermark, bad art...",
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value=Config.DEFAULT_NEGATIVE_PROMPT
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)
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with gr.Accordion("Advanced Settings", open=False):
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@@ -84,20 +79,15 @@ with gr.Blocks(title="Face To Pixel Art", theme=gr.themes.Soft()) as demo:
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precision=0
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)
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-
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-
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-
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maximum=5.0,
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step=0.1,
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value=Config.CGF_SCALE,
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label="CFG Scale"
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)
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steps = gr.Slider(
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elem_id="steps",
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minimum=4,
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maximum=20,
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step=1,
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value=
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label="Steps Number"
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)
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img_strength = gr.Slider(
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@@ -124,25 +114,22 @@ with gr.Blocks(title="Face To Pixel Art", theme=gr.themes.Soft()) as demo:
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value=Config.EDGE_STRENGTH,
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label="EdgeMap Strength (LineArt)"
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)
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# --- MODIFIED: Renamed slider ---
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# tile_strength = gr.Slider(...) # <-- REMOVED
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run_btn = gr.Button("Generate
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with gr.Column(scale=1):
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output_img = gr.Image(label="
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# Event Handler
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all_inputs = [
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input_img,
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prompt,
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negative_prompt,
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cfg_scale,
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steps,
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img_strength,
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depth_strength,
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edge_strength,
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# tile_strength, # <-- REMOVED
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seed
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]
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@@ -159,5 +146,5 @@ if __name__ == "__main__":
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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show_api=True
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)
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import torch
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from model import ModelHandler
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from generator import Generator
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from config import Config
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# 1. Initialize Models Globally
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print("Initializing Application...")
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handler = ModelHandler()
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handler.load_models()
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gen = Generator(handler)
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# 2. Define GPU-enabled Inference Function
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@spaces.GPU(duration=20)
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def process_img(
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image,
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prompt,
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negative_prompt,
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# cfg_scale, <-- REMOVED (TCD uses 0.0)
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steps,
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img_strength,
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depth_strength,
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edge_strength,
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seed
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):
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if image is None:
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try:
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print("--- Starting Generation ---")
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result = gen.predict(
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image,
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prompt,
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negative_prompt=negative_prompt,
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guidance_scale=Config.CGF_SCALE, # Hardcoded to 0.0 from Config
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num_inference_steps=steps,
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img2img_strength=img_strength,
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depth_strength=depth_strength,
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lineart_strength=edge_strength,
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seed=seed
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)
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print("--- Generation Complete ---")
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raise gr.Error(f"An error occurred: {str(e)}")
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# 3. Build Gradio Interface
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with gr.Blocks(title="Face To Style", theme=gr.themes.Soft()) as demo:
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gr.Markdown(
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"""
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# 🎮 Face to Style
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Upload any image. If there is a face, we'll keep the identity. If not, we'll stylize the scene!
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"""
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)
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prompt = gr.Textbox(
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label="Prompt (Optional)",
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placeholder="Leave empty for auto-captioning...",
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info=f"The trigger words '{Config.STYLE_TRIGGER}' are added automatically."
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)
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negative_prompt = gr.Textbox(
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label="Negative Prompt (Optional)",
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placeholder="e.g., blurry, text, watermark, bad art...",
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value=Config.DEFAULT_NEGATIVE_PROMPT
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)
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with gr.Accordion("Advanced Settings", open=False):
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precision=0
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)
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# --- REMOVED CFG/GUIDANCE SLIDER ---
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# TCD works best with guidance_scale=0.0
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steps = gr.Slider(
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elem_id="steps",
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minimum=4,
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maximum=20,
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step=1,
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value=8, # TCD default
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label="Steps Number"
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)
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img_strength = gr.Slider(
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value=Config.EDGE_STRENGTH,
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label="EdgeMap Strength (LineArt)"
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)
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run_btn = gr.Button("Generate", variant="primary")
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with gr.Column(scale=1):
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output_img = gr.Image(label="Styled Result")
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# Event Handler
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all_inputs = [
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input_img,
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prompt,
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negative_prompt,
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+
# cfg_scale, <-- REMOVED
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steps,
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img_strength,
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depth_strength,
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edge_strength,
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seed
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]
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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show_api=True
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)
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