Free-video-ai/anime-ai-generator

Create app.py

Create app.py

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Create app.py

import gradio as gr import torch from diffusers import AnimateDiffPipeline, MotionAdapter, DDIMScheduler from diffusers.utils import export_to_video adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-2") pipe = AnimateDiffPipeline.from_pretrained("emilianJR/epiCRealism", motion_adapter=adapter) pipe.scheduler = DDIMScheduler.from_config(pipe.scheduler.config) pipe.enable_model_cpu_offload() pipe.enable_vae_slicing() def generate(prompt): video = pipe( prompt, num_frames=8, # Frames kam kiye - tez banega guidance_scale=7.0, num_inference_steps=8 # Steps kam kiye - 25 sec me banega ).frames[0] return export_to_video(video, fps=6) gr.Interface(fn=generate, inputs="text", outputs="video", title="Fast Anime AI").launch()

import gradio as gr import torch from diffusers import AnimateDiffPipeline, MotionAdapter, DDIMScheduler from diffusers.utils import export_to_video from huggingface_hub import hf_hub_download # Motion adapter load karo adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-2") # Main pipeline pipe = AnimateDiffPipeline.from_pretrained( "emilianJR/epiCRealism", motion_adapter=adapter, torch_dtype=torch.float16 ) pipe.scheduler = DDIMScheduler.from_pretrained( "emilianJR/epiCRealism", subfolder="scheduler", clip_sample=False, timestep_spacing="linspace", beta_schedule="linear", steps_offset=1 ) #

Create app.py

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Create app py

Create app.py

Create app.py

Create anime-ai-generator

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