chore: update ui
Browse files
app.py
CHANGED
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@@ -40,6 +40,7 @@ def infer(
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guidance_scale: float,
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num_inference_steps: int,
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tkg_channels: list[int] = [0, 1, 1, 0],
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progress=gr.Progress(track_tqdm=True),
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):
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if randomize_seed:
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@@ -60,7 +61,7 @@ def infer(
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)
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tkg_latents = apply_tkg_noise(
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latents,
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shift=
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delta_shift=0.1,
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std_dev=0.5,
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factor=8,
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@@ -69,8 +70,8 @@ def infer(
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latents = torch.cat(
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[
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latents,
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tkg_latents,
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],
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dim=0,
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)
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@@ -107,6 +108,7 @@ def on_generate(
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guidance_scale: float,
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num_inference_steps: int,
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color_name: str,
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*args,
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**kwargs
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):
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@@ -123,6 +125,7 @@ def on_generate(
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guidance_scale,
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num_inference_steps,
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tkg_channels=tkg_channels,
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*args,
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**kwargs,
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)
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@@ -131,7 +134,7 @@ def on_generate(
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examples = [
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# "1girl, arima kana, oshi no ko, hoshimachi suisei, hoshimachi suisei \(1st costume\), cosplay, looking at viewer, smile, outdoors, night, v, masterpiece, high score, great score, absurdres",
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"1girl, solo,
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]
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@@ -149,26 +152,36 @@ TKG-DMπ₯π: Training-free Chroma Key Content Generation Diffusion Model
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with gr.Row():
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with gr.Column():
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prompt = gr.
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label="Prompt",
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max_lines=4,
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placeholder="Enter your prompt",
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)
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-
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label="Negative prompt",
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max_lines=4,
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placeholder="Enter a negative prompt",
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value="lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry",
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-
)
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-
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color_set = gr.Dropdown(
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label="
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choices=list(COLOR_SET_MAP.keys()),
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value="green",
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)
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with gr.Accordion("Advanced Settings", open=False):
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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@@ -215,8 +228,9 @@ TKG-DMπ₯π: Training-free Chroma Key Content Generation Diffusion Model
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with gr.Column():
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run_button = gr.Button("Generate", variant="primary")
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-
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-
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@@ -235,6 +249,7 @@ TKG-DMπ₯π: Training-free Chroma Key Content Generation Diffusion Model
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guidance_scale,
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num_inference_steps,
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color_set,
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],
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outputs=[result_w_tkg, result_wo_tkg, seed],
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)
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guidance_scale: float,
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num_inference_steps: int,
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tkg_channels: list[int] = [0, 1, 1, 0],
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+
chroma_key_shift: float = 0.11,
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progress=gr.Progress(track_tqdm=True),
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):
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if randomize_seed:
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)
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tkg_latents = apply_tkg_noise(
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latents,
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shift=chroma_key_shift,
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delta_shift=0.1,
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std_dev=0.5,
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factor=8,
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latents = torch.cat(
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[
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tkg_latents,
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latents,
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],
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dim=0,
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)
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guidance_scale: float,
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num_inference_steps: int,
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color_name: str,
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chroma_key_shift: float,
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*args,
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**kwargs
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):
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guidance_scale,
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num_inference_steps,
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tkg_channels=tkg_channels,
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chroma_key_shift=chroma_key_shift,
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*args,
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**kwargs,
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)
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examples = [
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# "1girl, arima kana, oshi no ko, hoshimachi suisei, hoshimachi suisei \(1st costume\), cosplay, looking at viewer, smile, outdoors, night, v, masterpiece, high score, great score, absurdres",
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"1girl, solo, school uniform, cat ears, full body, looking at viewer, straight-on, chibi, masterpiece, best quality",
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]
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(
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label="Prompt",
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max_lines=4,
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placeholder="Enter your prompt",
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)
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color_set = gr.Dropdown(
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label="Background color",
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choices=list(COLOR_SET_MAP.keys()),
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value="green",
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)
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with gr.Accordion("TKG Settings", open=False):
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chroma_key_shift = gr.Slider(
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label="Latent mean shift for chroma key",
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minimum=0.0,
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maximum=1.0,
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step=0.05,
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value=0.11,
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)
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with gr.Accordion("Advanced Settings", open=False):
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negative_prompt = gr.Textbox(
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label="Negative prompt",
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max_lines=4,
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placeholder="Enter a negative prompt",
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value="lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry",
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)
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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with gr.Column():
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run_button = gr.Button("Generate", variant="primary")
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with gr.Row():
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result_w_tkg = gr.Image(label="with TKG")
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result_wo_tkg = gr.Image(label="without TKG")
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guidance_scale,
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num_inference_steps,
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color_set,
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chroma_key_shift,
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],
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outputs=[result_w_tkg, result_wo_tkg, seed],
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)
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