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* krea-realtime-video * Add Krea real-time video inference and training support * Delete .gitignore * update README * update README --------- Co-authored-by: Artiprocher <wangye87v5@hotmail.com> Co-authored-by: Jintao Huang <huangjintao.hjt@alibaba-inc.com> Co-authored-by: Zhongjie Duan <35051019+Artiprocher@users.noreply.github.com>
26 lines
886 B
Python
26 lines
886 B
Python
import torch
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from diffsynth import save_video
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from diffsynth.pipelines.wan_video_new import WanVideoPipeline, ModelConfig
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pipe = WanVideoPipeline.from_pretrained(
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torch_dtype=torch.bfloat16,
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device="cuda",
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model_configs=[
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ModelConfig(model_id="krea/krea-realtime-video", origin_file_pattern="krea-realtime-video-14b.safetensors", offload_device="cpu"),
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ModelConfig(model_id="Wan-AI/Wan2.1-T2V-14B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth", offload_device="cpu"),
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ModelConfig(model_id="Wan-AI/Wan2.1-T2V-14B", origin_file_pattern="Wan2.1_VAE.pth", offload_device="cpu"),
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],
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)
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pipe.enable_vram_management()
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# Text-to-video
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video = pipe(
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prompt="a cat sitting on a boat",
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num_inference_steps=6, num_frames=81,
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seed=0, tiled=True,
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cfg_scale=1,
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sigma_shift=20,
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)
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save_video(video, "video1.mp4", fps=15, quality=5)
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