Akjava commited on
Commit
d5f817f
1 Parent(s): 9972208
Files changed (2) hide show
  1. app.py +2 -2
  2. flux1_img2img.py +1 -1
app.py CHANGED
@@ -86,8 +86,8 @@ with demo_blocks as demo:
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  image_mask = gr.Image(sources=['upload','clipboard'], elem_id="mask_upload", type="pil", label="Mask_Upload",height=400, value=None)
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  with gr.Accordion(label="Advanced Settings", open=False):
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  with gr.Row( equal_height=True):
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- strength = gr.Number(value=0.75, minimum=0, maximum=1.0, step=0.01, label="Inpaint strength")
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- seed = gr.Number(value=0, minimum=0, step=1, label="Inpaint seed")
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  models = ["black-forest-labs/FLUX.1-schnell"]
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  inpaint_model = gr.Dropdown(label="modes", choices=models, value="black-forest-labs/FLUX.1-schnell")
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  id_input=gr.Text(label="Name", visible=False)
 
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  image_mask = gr.Image(sources=['upload','clipboard'], elem_id="mask_upload", type="pil", label="Mask_Upload",height=400, value=None)
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  with gr.Accordion(label="Advanced Settings", open=False):
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  with gr.Row( equal_height=True):
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+ strength = gr.Number(value=0.75, minimum=0, maximum=1.0, step=0.01, label="strength")
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+ seed = gr.Number(value=0, minimum=0, step=1, label="seed")
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  models = ["black-forest-labs/FLUX.1-schnell"]
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  inpaint_model = gr.Dropdown(label="modes", choices=models, value="black-forest-labs/FLUX.1-schnell")
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  id_input=gr.Text(label="Name", visible=False)
flux1_img2img.py CHANGED
@@ -20,7 +20,7 @@ def process_image(image,mask_image,prompt="a person",model_id="black-forest-labs
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  generators.append(generator)
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  # more parameter see https://huggingface.co/docs/diffusers/api/pipelines/flux#diffusers.FluxInpaintPipeline
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  output = pipe(prompt=prompt, image=image,generator=generator,strength=strength
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- ,guidance_scale=0,num_inference_steps=num_inference_steps)
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  # TODO support mask
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  return output.images[0]
 
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  generators.append(generator)
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  # more parameter see https://huggingface.co/docs/diffusers/api/pipelines/flux#diffusers.FluxInpaintPipeline
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  output = pipe(prompt=prompt, image=image,generator=generator,strength=strength
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+ ,guidance_scale=0,num_inference_steps=num_inference_steps,max_sequence_length=512)
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  # TODO support mask
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  return output.images[0]