mirror of
https://github.com/modelscope/DiffSynth-Studio.git
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57 lines
2.4 KiB
Python
57 lines
2.4 KiB
Python
from diffsynth import ModelManager, SDVideoPipeline, ControlNetConfigUnit, VideoData, save_video, save_frames
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import torch
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# Download models
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# `models/stable_diffusion/flat2DAnimerge_v45Sharp.safetensors`: [link](https://civitai.com/api/download/models/266360?type=Model&format=SafeTensor&size=pruned&fp=fp16)
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# `models/AnimateDiff/mm_sd_v15_v2.ckpt`: [link](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt)
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# `models/ControlNet/control_v11p_sd15_lineart.pth`: [link](https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth)
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# `models/ControlNet/control_v11f1e_sd15_tile.pth`: [link](https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile.pth)
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# `models/Annotators/sk_model.pth`: [link](https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model.pth)
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# `models/Annotators/sk_model2.pth`: [link](https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model2.pth)
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# Load models
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model_manager = ModelManager(torch_dtype=torch.float16, device="cuda")
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model_manager.load_textual_inversions("models/textual_inversion")
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model_manager.load_models([
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"models/stable_diffusion/flat2DAnimerge_v45Sharp.safetensors",
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"models/AnimateDiff/mm_sd_v15_v2.ckpt",
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"models/ControlNet/control_v11p_sd15_lineart.pth",
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"models/ControlNet/control_v11f1e_sd15_tile.pth",
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])
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pipe = SDVideoPipeline.from_model_manager(
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model_manager,
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[
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ControlNetConfigUnit(
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processor_id="lineart",
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model_path="models/ControlNet/control_v11p_sd15_lineart.pth",
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scale=1.0
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),
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ControlNetConfigUnit(
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processor_id="tile",
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model_path="models/ControlNet/control_v11f1e_sd15_tile.pth",
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scale=0.5
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),
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]
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)
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# Load video (we only use 16 frames in this example for testing)
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video = VideoData(video_file="input_video.mp4", height=1536, width=1536)
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input_video = [video[i] for i in range(16)]
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# Toon shading
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torch.manual_seed(0)
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output_video = pipe(
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prompt="best quality, perfect anime illustration, light, a girl is dancing, smile, solo",
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negative_prompt="verybadimagenegative_v1.3",
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cfg_scale=5, clip_skip=2,
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controlnet_frames=input_video, num_frames=len(input_video),
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num_inference_steps=10, height=1536, width=1536,
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vram_limit_level=0,
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)
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# Save images and video
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save_frames(output_video, "output_frames")
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save_video(output_video, "output_video.mp4", fps=16)
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