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Update app.py
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app.py
CHANGED
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@@ -30,26 +30,35 @@ pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=
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MAX_SEED = np.iinfo(np.int32).max
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@spaces.GPU
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def infer(prompt, seed=1, randomize_seed=False, num_inference_steps=28):
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prompt_template = f"A side by side 4 frame image showing high quality consecutive stills from a looped gif animation moving from left to right. The scene has motion. The stills are of {prompt}"
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator().manual_seed(seed)
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image = pipe(
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prompt=prompt_template,
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num_inference_steps=num_inference_steps,
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num_images_per_prompt=1,
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generator=generator,
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height=320,
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width=1280
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).images[0]
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gif_name = f"{uuid.uuid4().hex}-flux.gif"
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export_to_gif(split_image(image, 4), gif_name, fps=4)
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return gif_name, image, seed
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examples = [
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@@ -101,32 +110,28 @@ footer {visibility: hidden}
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background-color: #f8f9fa;
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}
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/* Examples ํ
์คํธ ์์
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.
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color: black !important;
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}
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.gr-examples button {
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color: black !important;
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}
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color: black !important;
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}
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color: black !important;
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}
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color: black !important;
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}
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color: black !important;
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}
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color: black !important;
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}
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@@ -145,13 +150,18 @@ footer {visibility: hidden}
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width: auto !important;
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}
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/*
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color:
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}
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}
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"""
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@@ -217,13 +227,14 @@ with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange", css=css) as demo:
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value=28,
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)
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gr.Examples(
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examples=examples,
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inputs=[prompt],
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outputs=[result, result_full, seed],
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fn=infer,
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cache_examples=True,
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label="Click on any example to try it out"
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)
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gr.on(
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outputs=[result, result_full, seed]
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)
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demo.queue().launch()
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MAX_SEED = np.iinfo(np.int32).max
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@spaces.GPU
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def infer(prompt, seed=1, randomize_seed=False, num_inference_steps=28, progress=gr.Progress()):
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progress(0, desc="Starting...")
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prompt_template = f"A side by side 4 frame image showing high quality consecutive stills from a looped gif animation moving from left to right. The scene has motion. The stills are of {prompt}"
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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progress(0.2, desc="Generating animation...")
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generator = torch.Generator().manual_seed(seed)
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def callback(step, timestep, latents):
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progress((step + 1) / num_inference_steps, desc=f"Step {step + 1}/{num_inference_steps}")
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return True
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image = pipe(
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prompt=prompt_template,
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num_inference_steps=num_inference_steps,
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num_images_per_prompt=1,
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generator=generator,
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height=320,
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width=1280,
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callback=callback,
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callback_steps=1
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).images[0]
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progress(0.9, desc="Creating GIF...")
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gif_name = f"{uuid.uuid4().hex}-flux.gif"
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export_to_gif(split_image(image, 4), gif_name, fps=4)
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progress(1.0, desc="Done!")
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return gif_name, image, seed
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examples = [
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background-color: #f8f9fa;
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}
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/* Examples ํ
์คํธ ์์ ๊ฐ์ ์ ์ฉ */
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.gallery-item {
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color: black !important;
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}
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.gallery-item * {
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color: black !important;
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}
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.fixed-height {
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color: black !important;
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}
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.fixed-height * {
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color: black !important;
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}
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.examples-table {
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color: black !important;
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}
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.examples-table * {
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color: black !important;
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}
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width: auto !important;
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}
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/* ํ๋ก๊ทธ๋ ์ค ๋ฐ ์คํ์ผ */
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.progress-bar {
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background-color: #f0f0f0;
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border-radius: 10px;
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padding: 3px;
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}
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.progress-bar-fill {
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background: linear-gradient(45deg, #FF6B6B, #4ECDC4);
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height: 20px;
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border-radius: 7px;
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transition: width 0.5s ease-out;
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}
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"""
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value=28,
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)
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examples_section = gr.Examples(
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examples=examples,
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inputs=[prompt],
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outputs=[result, result_full, seed],
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fn=infer,
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cache_examples=True,
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label="Click on any example to try it out",
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elem_classes=["examples-table"]
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)
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gr.on(
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outputs=[result, result_full, seed]
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)
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# ํ
๋ง ์์ ์ค๋ฒ๋ผ์ด๋
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demo.theme = gr.themes.Default().set(
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body_text_color="black",
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block_label_text_color="black",
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block_title_text_color="black",
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body_text_color_subdued="black",
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description_text_color="black",
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background_fill_primary="white",
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)
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demo.queue().launch()
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