import gradio as gr import os import requests from huggingface_hub import cached_download, hf_hub_url MORE = """ ## TRY Other Models ### JARVIS: Your VOICE Assistant -> https://huggingface.co/spaces/KingNish/JARVIS ### Instant Image: 4k images in 5 Second -> https://huggingface.co/spaces/KingNish/Instant-Image """ # Function def generate_image(prompt, base="Anime", motion="", step=8, progress=gr.Progress()): API_URL = "https://api-inference.huggingface.co/models/KingNish/Instant-Video" headers = {"Authorization": f"Bearer {os.environ.get('HF_API_TOKEN')}"} # Замените на ваш токен Hugging Face API payload = { "inputs": prompt, "options": { "base": base, "motion": motion, "step": step } } response = requests.post(API_URL, headers=headers, json=payload) response.raise_for_status() video_url = response.json()[0]['video'] video_path = cached_download(video_url) return video_path # Gradio Interface with gr.Blocks(css="style.css") as demo: with gr.Group(): with gr.Row(): prompt = gr.Textbox( label='Описание' ) with gr.Row(): select_base = gr.Dropdown( label='Стиль', choices=[ "Cartoon", "Realistic", "3d", "Anime", ], value="Anime", interactive=True ) select_motion = gr.Dropdown( label='Движение', choices=[ ("Default", ""), ("Zoom in", "guoyww/animatediff-motion-lora-zoom-in"), ("Zoom out", "guoyww/animatediff-motion-lora-zoom-out"), ("Tilt up", "guoyww/animatediff-motion-lora-tilt-up"), ("Tilt down", "guoyww/animatediff-motion-lora-tilt-down"), ("Pan left", "guoyww/animatediff-motion-lora-pan-left"), ("Pan right", "guoyww/animatediff-motion-lora-pan-right"), ("Roll left", "guoyww/animatediff-motion-lora-rolling-anticlockwise"), ("Roll right", "guoyww/animatediff-motion-lora-rolling-clockwise"), ], value="", interactive=True ) select_step = gr.Dropdown( label='Шаги вывода', choices=[ ('1-Step', 1), ('2-Step', 2), ('4-Step', 4), ('8-Step', 8), ], value=4, interactive=True ) submit = gr.Button( scale=1, variant='primary' ) video = gr.Video( label='Сгенерированое видео', autoplay=True, height=512, width=512, elem_id="video_output" ) prompt.submit( fn=generate_image, inputs=[prompt, select_base, select_motion, select_step], outputs=video, ) submit.click( fn=generate_image, inputs=[prompt, select_base, select_motion, select_step], outputs=video, ) demo.queue().launch()