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Update OmniAvatar/wan_video.py
Browse files- OmniAvatar/wan_video.py +0 -5
OmniAvatar/wan_video.py
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@@ -4,7 +4,6 @@ from .models.wan_video_dit import WanModel
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from .models.wan_video_text_encoder import WanTextEncoder
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from .models.wan_video_vae import WanVideoVAE
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from .schedulers.flow_match import FlowMatchScheduler
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from .base import BasePipeline
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from .prompters import WanPrompter
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import torch, os
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@@ -18,16 +17,12 @@ from .models.wan_video_text_encoder import T5RelativeEmbedding, T5LayerNorm
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from .models.wan_video_dit import RMSNorm
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from .models.wan_video_vae import RMS_norm, CausalConv3d, Upsample
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from diffusers import UniPCMultistepScheduler
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class WanVideoPipeline(BasePipeline):
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def __init__(self, device="cuda", torch_dtype=torch.float16, tokenizer_path=None):
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super().__init__(device=device, torch_dtype=torch_dtype)
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self.scheduler = FlowMatchScheduler(shift=5, sigma_min=0.0, extra_one_step=True)
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self.scheduler = UniPCMultistepScheduler.from_config(self.scheduler.config, flow_shift=8.0)
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self.prompter = WanPrompter(tokenizer_path=tokenizer_path)
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self.text_encoder: WanTextEncoder = None
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self.image_encoder = None
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from .models.wan_video_text_encoder import WanTextEncoder
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from .models.wan_video_vae import WanVideoVAE
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from .schedulers.flow_match import FlowMatchScheduler
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from .base import BasePipeline
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from .prompters import WanPrompter
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import torch, os
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from .models.wan_video_dit import RMSNorm
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from .models.wan_video_vae import RMS_norm, CausalConv3d, Upsample
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class WanVideoPipeline(BasePipeline):
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def __init__(self, device="cuda", torch_dtype=torch.float16, tokenizer_path=None):
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super().__init__(device=device, torch_dtype=torch_dtype)
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self.scheduler = FlowMatchScheduler(shift=5, sigma_min=0.0, extra_one_step=True)
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self.prompter = WanPrompter(tokenizer_path=tokenizer_path)
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self.text_encoder: WanTextEncoder = None
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self.image_encoder = None
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