Spaces:
Running
Running
This PR allows to upload existing mask
#1
by
Fabrice-TIERCELIN
- opened
app.py
CHANGED
@@ -48,7 +48,8 @@ EXAMPLES = [
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42,
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False,
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0.85,
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-
30
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],
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[
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{
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@@ -60,7 +61,8 @@ EXAMPLES = [
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42,
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False,
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0.85,
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-
30
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]
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]
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@@ -101,6 +103,7 @@ def process(
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randomize_seed_checkbox: bool,
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strength_slider: float,
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num_inference_steps_slider: int,
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progress=gr.Progress(track_tqdm=True)
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):
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if not input_text:
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@@ -108,14 +111,17 @@ def process(
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return None, None
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image = input_image_editor['background']
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-
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if not image:
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gr.Info("Please upload an image.")
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return None, None
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if not mask:
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-
gr.Info("Please draw a mask on the image.")
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return None, None
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width, height = resize_image_dimensions(original_resolution_wh=image.size)
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@@ -162,6 +168,9 @@ with gr.Blocks() as demo:
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submit_button_component = gr.Button(
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value='Submit', variant='primary', scale=0)
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with gr.Accordion("Advanced Settings", open=False):
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seed_slicer_component = gr.Slider(
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label="Seed",
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@@ -211,7 +220,8 @@ with gr.Blocks() as demo:
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seed_slicer_component,
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randomize_seed_checkbox_component,
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strength_slider_component,
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-
num_inference_steps_slider_component
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],
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outputs=[
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output_image_component,
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@@ -229,7 +239,8 @@ with gr.Blocks() as demo:
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seed_slicer_component,
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randomize_seed_checkbox_component,
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strength_slider_component,
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-
num_inference_steps_slider_component
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],
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outputs=[
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output_image_component,
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42,
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False,
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0.85,
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+
30,
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None
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],
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[
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{
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42,
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False,
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0.85,
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+
30,
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None
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]
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]
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randomize_seed_checkbox: bool,
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strength_slider: float,
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num_inference_steps_slider: int,
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+
uploaded_mask: Image.Image,
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progress=gr.Progress(track_tqdm=True)
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):
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if not input_text:
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return None, None
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image = input_image_editor['background']
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+
if uploaded_mask is None:
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mask = input_image_editor['layers'][0]
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else:
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mask = uploaded_mask
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if not image:
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gr.Info("Please upload an image.")
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return None, None
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if not mask:
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gr.Info("Please draw a mask on the image or upload a mask.")
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return None, None
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width, height = resize_image_dimensions(original_resolution_wh=image.size)
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submit_button_component = gr.Button(
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value='Submit', variant='primary', scale=0)
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with gr.Accordion("Upload a mask", open = False):
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uploaded_mask_component = gr.Image(label = "Already made mask (white pixels will be preserved, black pixels will be redrawn)", sources = ["upload"], type = "pil")
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+
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with gr.Accordion("Advanced Settings", open=False):
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seed_slicer_component = gr.Slider(
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label="Seed",
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seed_slicer_component,
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randomize_seed_checkbox_component,
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strength_slider_component,
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num_inference_steps_slider_component,
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uploaded_mask_component
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],
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outputs=[
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output_image_component,
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seed_slicer_component,
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randomize_seed_checkbox_component,
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strength_slider_component,
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num_inference_steps_slider_component,
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+
uploaded_mask_component
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],
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outputs=[
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output_image_component,
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