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  4. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_ares_V4_new.safetensors +3 -0
  5. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_ares_V5_new.safetensors +3 -0
  6. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_evol_V1_new.safetensors +3 -0
  7. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_evol_V2_new.safetensors +3 -0
  8. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_evol_V3_new.safetensors +3 -0
  9. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_evol_V4_new.safetensors +3 -0
  10. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_evol_V5_new.safetensors +3 -0
  11. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_stock_V1_new.safetensors +3 -0
  12. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_stock_V2_new.safetensors +3 -0
  13. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_stock_V3_new.safetensors +3 -0
  14. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_stock_V4_new.safetensors +3 -0
  15. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_stock_V5_new.safetensors +3 -0
  16. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_train_V1_new.safetensors +3 -0
  17. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_train_V2_new.safetensors +3 -0
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  20. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/DG_Wan_1_3b_t2v_boost_train_V5_new.safetensors +3 -0
  21. DG_Model_Wan2_1_v1_3b_t2v_Boost_Final/Readme.txt +25 -0
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+ That’s a lot of models, but it gives plenty of choice.
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+ I tried to fix a few mistakes I had made in the earlier versions of my models.
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+ One of the main issues was that in the previous versions, video motion was significantly reduced.
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+ Overall, the results were quite good, but with less motion.
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+
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+ When trying to maintain more consistency, it ended up reducing motion.
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+ In my new models, I tried using a different technique that shouldn't reduce motion.
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+ I also tried, in certain versions like the "stock" one, to preserve as much of the original model’s rendering style as possible.
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+
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+ Of course, the results will vary due to the boost, but the stock version should be the closest to the original.
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+ That said, for character quality or certain details—especially interiors—the other models often produce much better results.
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+
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+ The models are configured for 5 or 6 steps by default, but you can definitely go higher.
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+ If the video output becomes noisy or strange and you're using Tea Cache, try disabling it.
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+ With certain step counts, it can conflict with Tea Cache’s default values.
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+
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+ All of my boosted models are compatible with the Diffusion Pipe training tool, so you can use them to train your own LoRAs.
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+ It’s a lot of models, and this should be my final version.
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+ I don’t think I’ll be making more versions of this model.
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+
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+ At some point, I might remove a few and keep only the best ones.
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+ Unless, of course, a better video model comes out someday—but for now, I really love this one.
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+ There’s a lot of fun to be had with it.
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+
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+ Have fun!