app.py

import gradio as gr
from diffusers import DiffusionPipeline
import torch
from PIL import Image
from moviepy.editor import ImageSequenceClip

# Загружаем модель
pipe = DiffusionPipeline.from_pretrained(
    "Suparious/FP-image-to-video-FLUX.1-HV-bf16",
    torch_dtype=torch.bfloat16,
    variant="bf16"
).to("cuda")

pipe.enable_model_cpu_offload()

def animate_image(image: Image.Image):
    result = pipe(image, decode_chunk_size=8)
    frames = result.frames

    clip = ImageSequenceClip(frames, fps=8)
    output_path = "output.mp4"
    clip.write_videofile(output_path, codec="libx264", audio=False)

    return output_path

demo = gr.Interface(
    fn=animate_image,
    inputs=gr.Image(type="pil"),
    outputs=gr.Video(),
    title="🌀 FP Image to Video Animation",
    description="Загрузи изображение, и модель FLUX.1 превратит его в короткое анимированное видео."
)

demo.launch()