[HunyuanVideo1.5] support step-distilled #12802
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sayakpaul
approved these changes
Dec 8, 2025
| ) | ||
| converted_state_dict["time_embed.timestep_embedder.linear_2.bias"] = original_state_dict.pop("time_in.mlp.2.bias") | ||
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| if config.use_meanflow: |
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Maybe slightly better?
Suggested change
| if config.use_meanflow: | |
| if config is not None and getattr(config, "use_meanflow", False): |
| self.time_proj_r = None | ||
| self.timestep_embedder_r = None | ||
| if use_meanflow: | ||
| self.time_proj_r = Timesteps(num_channels=256, flip_sin_to_cos=True, downscale_freq_shift=0) |
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(nit): Maybe time_proj_meanflow and timestep_embedder_meanflow are better names?
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adding support for https://huggingface.co/tencent/HunyuanVideo-1.5/tree/main/transformer/480p_i2v_step_distilled
import torch dtype = torch.bfloat16 device = "cuda:0" from diffusers import HunyuanVideo15ImageToVideoPipeline, attention_backend from diffusers.utils import export_to_video, load_image pipe = HunyuanVideo15ImageToVideoPipeline.from_pretrained("hunyuanvideo-community/HunyuanVideo-1.5-Diffusers-480p_i2v_step_distilled", torch_dtype=dtype) pipe.enable_model_cpu_offload() pipe.vae.enable_tiling() generator = torch.Generator(device=device).manual_seed(1) image = load_image("https://huggingface.co/datasets/YiYiXu/testing-images/resolve/main/wan_i2v_input.JPG") prompt="Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside." with attention_backend("flash_varlen"): # or `"flash_varlen_hub" video = pipe( prompt=prompt, image=image, generator=generator, num_frames=121, num_inference_steps=12, ).frames[0] export_to_video(video, "yiyi_test_7_1_output.mp4", fps=24)