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Runtime error
Runtime error
Update app.py
Browse files
app.py
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@@ -30,6 +30,7 @@ pipe_prior_redux = FluxPriorReduxPipeline.from_pretrained(
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@spaces.GPU
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def infer(control_image, prompt, image_2, prompt_2, reference_scale= 0.03 ,
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seed=42, randomize_seed=False, width=1024, height=1024,
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guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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@@ -84,6 +85,7 @@ An adapter for FLUX [dev] to create image variations
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container=False,
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)
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reference_scale = gr.Slider(
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label="Masking Scale",
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minimum=0.01,
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maximum=0.08,
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@@ -115,6 +117,37 @@ An adapter for FLUX [dev] to create image variations
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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width = gr.Slider(
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@@ -154,7 +187,7 @@ An adapter for FLUX [dev] to create image variations
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gr.on(
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triggers=[run_button.click],
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fn = infer,
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inputs = [input_image, prompt, image_2, prompt_2, reference_scale, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
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outputs = [result, seed]
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)
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@spaces.GPU
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def infer(control_image, prompt, image_2, prompt_2, reference_scale= 0.03 ,
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prompt_embeds_scale_1 =1, prompt_embeds_scale_2 =1, pooled_prompt_embeds_scale_1 =1, pooled_prompt_embeds_scale_2 =1,
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seed=42, randomize_seed=False, width=1024, height=1024,
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guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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container=False,
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)
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reference_scale = gr.Slider(
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info="lower to enhance prompt adherence",
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label="Masking Scale",
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minimum=0.01,
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maximum=0.08,
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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prompt_embeds_scale_1 = gr.Slider(
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label="prompt embeds scale 1st image",
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minimum=0,
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maximum=1.5,
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step=0.001,
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value=1,
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)
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prompt_embeds_scale_2 = gr.Slider(
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label="prompt embeds scale 2nd image",
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minimum=0,
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maximum=1.5,
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step=0.001,
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value=1,
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)
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pooled_prompt_embeds_scale_1 = gr.Slider(
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label="pooled prompt embeds scale 2nd image",
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minimum=0,
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maximum=1.5,
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step=0.001,
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value=1,
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)
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pooled_prompt_embeds_scale_2 = gr.Slider(
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label="pooled prompt embeds scale 2nd image",
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minimum=0,
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maximum=1.5,
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step=0.001,
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value=1,
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)
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prompt_embeds_scale=[1.25],
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pooled_prompt_embeds_scale=[1.25]
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with gr.Row():
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width = gr.Slider(
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gr.on(
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triggers=[run_button.click],
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fn = infer,
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inputs = [input_image, prompt, image_2, prompt_2, reference_scale, prompt_embeds_scale_1, prompt_embeds_scale_2, pooled_prompt_embeds_scale_1, pooled_prompt_embeds_scale_2, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
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outputs = [result, seed]
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)
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