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README.md
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I’ve converted Wan2.1-Fun-1.3B-InP-HPS2.1_lora.safetensors & Wan2.1-Fun-1.3B-InP-MPS_lora_new.safetensors to make it compatible with the Fun model and ComfyUI.
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I'm working on a Fun model version using my boost method, but with this model, the effect isn’t exactly the same as the T2V model.
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The boost does help, but the impact is noticeably less compared to the T2V model.
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I’ve added new models for Wan 2.1 I2V v1.3b Fun Inp.
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These models don’t use exactly the same method as my DG T2V Models, and the results are not identical.
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In this version, the effect is reduced, but it attempts to fix certain parts of the video.
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It’s harder to implement the method I use with the other models because the I2V system and its method are constantly trying to match the start and end images.
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It’s similar to using a LoRA to change faces in a video—you can see the model struggling against the LoRA to preserve the original start and end frames.
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Often, the LoRA fails to work correctly on the first or last frame.
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Keep in mind that all of this is still experimental.
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I’ve noticed that sometimes the tea cache conflicts with my boosted model.
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This happens because the effects are applied before the tea cache.
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I’m not sure how to fix it yet—maybe it needs a different tea cache value to work properly.
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If you notice strange noise in the video, try disabling the tea cache or experimenting with different tea cache values until you find one that works.
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I’ve converted Wan2.1-Fun-1.3B-InP-HPS2.1_lora.safetensors & Wan2.1-Fun-1.3B-InP-MPS_lora_new.safetensors to make it compatible with the Fun model and ComfyUI.
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I'm working on a Fun model version using my boost method, but with this model, the effect isn’t exactly the same as the T2V model.
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The boost does help, but the impact is noticeably less compared to the T2V model.
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