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Update app.py
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app.py
CHANGED
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@@ -3,6 +3,7 @@ import cv2
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import numpy as np
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from diffusers import AutoPipelineForImage2Image
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from diffusers.utils import load_image
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# Load the anime-style diffusion model
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pipe = AutoPipelineForImage2Image.from_pretrained(
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@@ -13,8 +14,9 @@ pipe = AutoPipelineForImage2Image.from_pretrained(
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# Function to process a single frame
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def process_frame(frame, prompt):
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frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
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result = pipe(prompt=prompt, image=image, strength=0.75).images[0]
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return np.array(result)
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@@ -50,12 +52,12 @@ iface = gr.Interface(
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fn=video_to_anime,
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inputs=[
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gr.Video(label="Input Video"),
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gr.Textbox(label="Style Prompt", value="Arcane style")
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],
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outputs=gr.Video(label="Output Video"),
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title="Video to Anime Converter",
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description="Upload a video and convert it to anime style!"
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)
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# Launch the interface
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iface.launch()
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import numpy as np
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from diffusers import AutoPipelineForImage2Image
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from diffusers.utils import load_image
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from PIL import Image # Add this import
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# Load the anime-style diffusion model
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pipe = AutoPipelineForImage2Image.from_pretrained(
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# Function to process a single frame
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def process_frame(frame, prompt):
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frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) # Convert BGR to RGB
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pil_image = Image.fromarray(frame_rgb) # Convert NumPy array to PIL image
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image = load_image(pil_image) # Pass PIL image to load_image
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result = pipe(prompt=prompt, image=image, strength=0.75).images[0]
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return np.array(result)
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fn=video_to_anime,
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inputs=[
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gr.Video(label="Input Video"),
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gr.Textbox(label="Style Prompt", value="Arcane style")
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],
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outputs=gr.Video(label="Output Video"),
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title="Video to Anime Converter",
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description="Upload a video and convert it to anime style!"
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)
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# Launch the interface with a public link
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iface.launch(share=True) # Added share=True as per the suggestion
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