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SamitandHongsheng Liu 978a290d6e [Bugfix] Fix diffusion pipeline CFG (guidance_scale parsing failure bug) (#922 )

Signed-off-by: samithuang <285365963@qq.com>
Signed-off-by: Hongsheng Liu <liuhongsheng4@huawei.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>

2026-01-26 05:09:03 +00:00

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Text-To-Video

The Wan-AI/Wan2.2-T2V-A14B-Diffusers pipeline generates short videos from text prompts.

Local CLI Usage

python text_to_video.py \
  --prompt "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage." \
  --negative_prompt "<optional quality filter>" \
  --height 480 \
  --width 832 \
  --num_frames 33 \
  --guidance_scale 4.0 \
  --guidance_scale_high 3.0 \
  --flow_shift 12.0 \
  --num_inference_steps 40 \
  --fps 16 \
  --output t2v_out.mp4

Key arguments:

--prompt: text description (string).
--height/--width: output resolution (defaults 480x832, i.e. 480P). Dimensions should align with Wan VAE downsampling (multiples of 8).
--num_frames: Number of frames (Wan default is 81).
--guidance_scale and --guidance_scale_high: CFG scale (applied to low/high).
--negative_prompt: optional list of artifacts to suppress (the PR demo used a long Chinese string).
--boundary_ratio: Boundary split ratio for low/high DiT.
--fps: frames per second for the saved MP4 (requires diffusers export_to_video).
--output: path to save the generated video.
--enable-cpu-offload: enable CPU offloading for diffusion models.

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Text-To-Video

Local CLI Usage

1.2 KiB

Raw Blame History