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@@ -405,7 +405,7 @@ pipe = WanPipeline.from_pretrained("Wan-AI/Wan2.1-T2V-1.3B-Diffusers", transform
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## Recommendations for Inference:
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- Keep `AutencoderKLWan` in `torch.float32` for better decoding quality.
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- `num_frames` should be of the form `4 * k + 1`, for example `49` or `81`.
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- `num_frames` should satisfy the following constraint: `(num_frames - 1) % 4 == 0`
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- For smaller resolution videos, try lower values of `shift` (between `2.0` to `5.0`) in the [Scheduler](https://huggingface.co/docs/diffusers/main/en/api/schedulers/flow_match_euler_discrete#diffusers.FlowMatchEulerDiscreteScheduler.shift). For larger resolution videos, try higher values (between `7.0` and `12.0`). The default value is `3.0` for Wan.
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## WanPipeline
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