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update

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Dhruv Nair
2025-03-14 12:19:38 +01:00
parent 598ca27dca
commit 6d0d68aee3
1 changed files with 16 additions and 6 deletions
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src/diffusers/pipelines/wan/pipeline_wan_video2video.py
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@@ -52,23 +52,26 @@ EXAMPLE_DOC_STRING = """
>>> from diffusers.schedulers.scheduling_unipc_multistep import UniPCMultistepScheduler
>>> # Available models: Wan-AI/Wan2.1-T2V-14B-Diffusers, Wan-AI/Wan2.1-T2V-1.3B-Diffusers
>>> model_id = "Wan-AI/Wan2.1-T2V-14B-Diffusers"
>>> model_id = "Wan-AI/Wan2.1-T2V-1.3B-Diffusers"
>>> vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
>>> pipe = WanVideoToVideoPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
>>> flow_shift = 5.0 # 5.0 for 720P, 3.0 for 480P
>>> flow_shift = 3.0 # 5.0 for 720P, 3.0 for 480P
>>> pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=flow_shift)
>>> pipe.to("cuda")
>>> prompt = "A cat and a dog baking a cake together in a kitchen. The cat is carefully measuring flour, while the dog is stirring the batter with a wooden spoon. The kitchen is cozy, with sunlight streaming through the window."
>>> negative_prompt = "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards"
>>> video = load_video(
... "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/hiker.mp4"
... )
>>> output = pipe(
... video=video,
... prompt=prompt,
... negative_prompt=negative_prompt,
... height=720,
... width=1280,
... num_frames=81,
... height=480,
... width=720,
... guidance_scale=5.0,
... strength=0.7,
... ).frames[0]
>>> export_to_video(output, "output.mp4", fps=16)
```
@@ -341,6 +344,8 @@ class WanVideoToVideoPipeline(DiffusionPipeline, WanLoraLoaderMixin):
negative_prompt,
height,
width,
video=None,
latents=None,
prompt_embeds=None,
negative_prompt_embeds=None,
callback_on_step_end_tensor_inputs=None,
@@ -376,6 +381,9 @@ class WanVideoToVideoPipeline(DiffusionPipeline, WanLoraLoaderMixin):
):
raise ValueError(f"`negative_prompt` has to be of type `str` or `list` but is {type(negative_prompt)}")
if video is not None and latents is not None:
raise ValueError("Only one of `video` or `latents` should be provided")
def prepare_latents(
self,
video: Optional[torch.Tensor] = None,
@@ -569,6 +577,8 @@ class WanVideoToVideoPipeline(DiffusionPipeline, WanLoraLoaderMixin):
negative_prompt,
height,
width,
video,
latents,
prompt_embeds,
negative_prompt_embeds,
callback_on_step_end_tensor_inputs,