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Wan-T2V_14B / DiffSynth-Studio /examples /Diffutoon /diffutoon_toon_shading.py
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from diffsynth import SDVideoPipelineRunner, download_models
# Download models (automatically)
# `models/stable_diffusion/aingdiffusion_v12.safetensors`: [link](https://civitai.com/api/download/models/229575)
# `models/AnimateDiff/mm_sd_v15_v2.ckpt`: [link](https://huggingface.co/guoyww/animatediff/resolve/main/mm_sd_v15_v2.ckpt)
# `models/ControlNet/control_v11p_sd15_lineart.pth`: [link](https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11p_sd15_lineart.pth)
# `models/ControlNet/control_v11f1e_sd15_tile.pth`: [link](https://huggingface.co/lllyasviel/ControlNet-v1-1/resolve/main/control_v11f1e_sd15_tile.pth)
# `models/Annotators/sk_model.pth`: [link](https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model.pth)
# `models/Annotators/sk_model2.pth`: [link](https://huggingface.co/lllyasviel/Annotators/resolve/main/sk_model2.pth)
# `models/textual_inversion/verybadimagenegative_v1.3.pt`: [link](https://civitai.com/api/download/models/25820?type=Model&format=PickleTensor&size=full&fp=fp16)
download_models([
"AingDiffusion_v12",
"AnimateDiff_v2",
"ControlNet_v11p_sd15_lineart",
"ControlNet_v11f1e_sd15_tile",
"TextualInversion_VeryBadImageNegative_v1.3"
])
# The original video in the example is https://www.bilibili.com/video/BV1iG411a7sQ/.
config = {
"models": {
"model_list": [
"models/stable_diffusion/aingdiffusion_v12.safetensors",
"models/AnimateDiff/mm_sd_v15_v2.ckpt",
"models/ControlNet/control_v11f1e_sd15_tile.pth",
"models/ControlNet/control_v11p_sd15_lineart.pth"
],
"textual_inversion_folder": "models/textual_inversion",
"device": "cuda",
"lora_alphas": [],
"controlnet_units": [
{
"processor_id": "tile",
"model_path": "models/ControlNet/control_v11f1e_sd15_tile.pth",
"scale": 0.5
},
{
"processor_id": "lineart",
"model_path": "models/ControlNet/control_v11p_sd15_lineart.pth",
"scale": 0.5
}
]
},
"data": {
"input_frames": {
"video_file": "data/examples/diffutoon/input_video.mp4",
"image_folder": None,
"height": 1536,
"width": 1536,
"start_frame_id": 0,
"end_frame_id": 30
},
"controlnet_frames": [
{
"video_file": "data/examples/diffutoon/input_video.mp4",
"image_folder": None,
"height": 1536,
"width": 1536,
"start_frame_id": 0,
"end_frame_id": 30
},
{
"video_file": "data/examples/diffutoon/input_video.mp4",
"image_folder": None,
"height": 1536,
"width": 1536,
"start_frame_id": 0,
"end_frame_id": 30
}
],
"output_folder": "output",
"fps": 30
},
"pipeline": {
"seed": 0,
"pipeline_inputs": {
"prompt": "best quality, perfect anime illustration, light, a girl is dancing, smile, solo",
"negative_prompt": "verybadimagenegative_v1.3",
"cfg_scale": 7.0,
"clip_skip": 2,
"denoising_strength": 1.0,
"num_inference_steps": 10,
"animatediff_batch_size": 16,
"animatediff_stride": 8,
"unet_batch_size": 1,
"controlnet_batch_size": 1,
"cross_frame_attention": False,
# The following parameters will be overwritten. You don't need to modify them.
"input_frames": [],
"num_frames": 30,
"width": 1536,
"height": 1536,
"controlnet_frames": []
}
}
}
runner = SDVideoPipelineRunner()
runner.run(config)