Spaces:
Running
on
Zero
Running
on
Zero
Added 1:1 image option.
Browse files
app.py
CHANGED
@@ -57,53 +57,6 @@ prompt = "high quality"
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"""
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def fill_image(image, model_selection):
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margin = 256
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overlap = 24
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# Open the original image
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source = image # Changed from image["background"] to match new input format
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# Calculate new output size
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output_size = (source.width + 2*margin, source.height + 2*margin)
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# Create a white background
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background = Image.new('RGB', output_size, (255, 255, 255))
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# Calculate position to paste the original image
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position = (margin, margin)
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# Paste the original image onto the white background
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background.paste(source, position)
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# Create the mask
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mask = Image.new('L', output_size, 255) # Start with all white
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mask_draw = ImageDraw.Draw(mask)
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mask_draw.rectangle([
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(position[0] + overlap, position[1] + overlap),
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(position[0] + source.width - overlap, position[1] + source.height - overlap)
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], fill=0)
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# Prepare the image for ControlNet
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cnet_image = background.copy()
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cnet_image.paste(0, (0, 0), mask)
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for image in pipe(
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prompt_embeds=prompt_embeds,
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negative_prompt_embeds=negative_prompt_embeds,
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pooled_prompt_embeds=pooled_prompt_embeds,
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negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
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image=cnet_image,
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):
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yield image, cnet_image
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image = image.convert("RGBA")
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cnet_image.paste(image, (0, 0), mask)
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yield background, cnet_image
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"""
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@spaces.GPU
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def infer(image, model_selection, ratio_choice, overlap_width):
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@@ -224,6 +177,47 @@ def infer(image, model_selection, ratio_choice, overlap_width):
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cnet_image.paste(image, (0, 0), mask)
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yield background, cnet_image
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def clear_result():
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@@ -259,7 +253,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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ratio = gr.Radio(
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label="Expected ratio",
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choices=["9:16", "16:9"],
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value = "9:16"
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)
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model_selection = gr.Dropdown(
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@@ -280,9 +274,9 @@ with gr.Blocks(css=css) as demo:
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gr.Examples(
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examples = [
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["./examples/example_1.webp", "RealVisXL V5.0 Lightning", "16
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["./examples/example_2.jpg", "RealVisXL V5.0 Lightning", "16:9"],
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["./examples/example_3.jpg", "RealVisXL V5.0 Lightning", "
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],
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inputs = [input_image, model_selection, ratio]
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)
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@@ -304,4 +298,4 @@ with gr.Blocks(css=css) as demo:
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)
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demo.launch(share=False)
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@spaces.GPU
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def infer(image, model_selection, ratio_choice, overlap_width):
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cnet_image.paste(image, (0, 0), mask)
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yield background, cnet_image
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elif ratio_choice == "1:1":
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target_ratio = (1, 1)
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target_size = (1024, 1024)
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overlap = overlap_width
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if source.width > target_size[0] or source.height > target_size[1]:
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scale_factor = min(target_size[0] / source.width, target_size[1] / source.height)
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new_width = int(source.width * scale_factor)
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new_height = int(source.height * scale_factor)
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source = source.resize((new_width, new_height), Image.LANCZOS)
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margin_x = (target_size[0] - source.width) // 2
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margin_y = (target_size[1] - source.height) // 2
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background = Image.new('RGB', target_size, (255, 255, 255))
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background.paste(source, (margin_x, margin_y))
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mask = Image.new('L', target_size, 255)
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mask_draw = ImageDraw.Draw(mask)
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mask_draw.rectangle([
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(margin_x + overlap, margin_y + overlap),
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(margin_x + source.width - overlap, margin_y + source.height - overlap)
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], fill=0)
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cnet_image = background.copy()
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cnet_image.paste(0, (0, 0), mask)
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for image in pipe(
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prompt_embeds=prompt_embeds,
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negative_prompt_embeds=negative_prompt_embeds,
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pooled_prompt_embeds=pooled_prompt_embeds,
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negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
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image=cnet_image,
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):
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yield cnet_image, image
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image = image.convert("RGBA")
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cnet_image.paste(image, (0, 0), mask)
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yield background, cnet_image
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def clear_result():
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with gr.Row():
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ratio = gr.Radio(
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label="Expected ratio",
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choices=["1:1", "9:16", "16:9"],
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value = "9:16"
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)
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model_selection = gr.Dropdown(
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gr.Examples(
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examples = [
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["./examples/example_1.webp", "RealVisXL V5.0 Lightning", "9:16"],
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["./examples/example_2.jpg", "RealVisXL V5.0 Lightning", "16:9"],
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["./examples/example_3.jpg", "RealVisXL V5.0 Lightning", "1:1"]
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],
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inputs = [input_image, model_selection, ratio]
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)
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)
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demo.launch(share=False)
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