Spaces:
Running
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Running
on
Zero
initial commit
Browse files- README.md +5 -5
- app.py +119 -0
- requirements.txt +5 -0
README.md
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---
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title: FLUX GIFs
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emoji:
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colorFrom:
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sdk: gradio
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sdk_version: 4.
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: FLUX GIFs
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emoji: 🖥️
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colorFrom: blue
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colorTo: pink
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sdk: gradio
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sdk_version: 4.40.0
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app_file: app.py
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pinned: false
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import random
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import gradio as gr
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import numpy as np
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import torch
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import spaces
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from diffusers import FluxPipeline
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from PIL import Image
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from diffusers.utils import export_to_gif
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HEIGHT = 256
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WIDTH = 1024
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MAX_SEED = np.iinfo(np.int32).max
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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipe = FluxPipeline.from_pretrained(
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"black-forest-labs/FLUX.1-dev",
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torch_dtype=torch.bfloat16
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).to("device")
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def split_image(input_image, num_splits=4):
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# Create a list to store the output images
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output_images = []
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# Split the image into four 256x256 sections
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for i in range(num_splits):
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left = i * 256
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right = (i + 1) * 256
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box = (left, 0, right, 256)
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output_images.append(input_image.crop(box))
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return output_images
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@spaces.GPU(duration=190)
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def predict(prompt, seed=42, randomize_seed=False, guidance_scale=5.0, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
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prompt_template = f"""
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A side by side 4 frame image showing consecutive stills from a looped gif moving from left to right.
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The gif is of {prompt}.
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"""
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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image = pipe(
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prompt=prompt_template,
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guidance_scale=guidance_scale,
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num_inference_steps=num_inference_steps,
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num_images_per_prompt=1,
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generator=torch.Generator("cpu").manual_seed(seed),
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height=HEIGHT,
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width=WIDTH
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).images[0]
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return export_to_gif(split_image(image, 4), "flux.gif", fps=4), seed
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demo = gr.Interface(fn=predict, inputs="text", outputs="image")
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css="""
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#col-container {
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margin: 0 auto;
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max-width: 520px;
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}
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"""
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examples = [
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"a cat waving its paws in the air",
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"a panda moving their hips from side to side",
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]
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("Create GIFs with Flux-dev. Based on @fofr's [tweet](https://x.com/fofrAI/status/1828910395962343561)")
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with gr.Row():
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prompt = gr.Text("Prompt", show_label=False, max_lines=1, placeholder="Enter your prompt")
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submit = gr.Button("Submit", show_label=False)
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with gr.Accordion("Advanced Settings", open=False):
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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guidance_scale = gr.Slider(
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label="Guidance Scale",
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minimum=1,
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maximum=15,
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step=0.1,
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value=3.5,
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)
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num_inference_steps = gr.Slider(
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label="Number of inference steps",
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minimum=1,
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maximum=50,
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step=1,
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value=28,
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)
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output = gr.Image("GIF", show_label=False)
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gr.Examples(
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examples=examples,
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fn=predict,
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inputs=[prompt],
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outputs=[output, seed],
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cache_examples="lazy"
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)
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gr.on(
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triggers=[submit.click, prompt.submit],
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fn=predict,
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inputs=[prompt, seed, randomize_seed, guidance_scale, num_inference_steps],
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outputs = [output, seed]
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)
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demo.launch()
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requirements.txt
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accelerate
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git+https://github.com/huggingface/diffusers.git
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torch
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transformers==4.42.4
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sentencepiece
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