Upload 10 files
Browse files- .gitattributes +6 -0
- DaSiWa BoundBite v10.0 Q8 FP8 - Wan2.2.txt +33 -0
- DaSiWa BoundBite v10.0 Q8 FP8 HIGH - Wan2.2.gguf +3 -0
- DaSiWa BoundBite v10.0 Q8 FP8 LOW - Wan2.2.gguf +3 -0
- DaSiWa SynthSeduction v9.0 Q8 FP16 - Wan2.2.txt +57 -0
- DaSiWa SynthSeduction v9.0 Q8 FP16 HIGH - Wan2.2.gguf +3 -0
- DaSiWa SynthSeduction v9.0 Q8 FP16 LOW - Wan2.2.gguf +3 -0
- DaSiWa-WAN 2.2 I2V 14B TastySin v8 Q6 HIGH - Wan2.2.gguf +3 -0
- DaSiWa-WAN 2.2 I2V 14B TastySin v8 Q6 LOW - Wan2.2.gguf +3 -0
- DasiwaWan22WorkflowsI2VSVI20_fastfidelityCAioV80.zip +3 -0
- DasiwaWan22WorkflowsI2VSVI20_fastfidelityCSVIV38.zip +3 -0
.gitattributes
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@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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DaSiWa[[:space:]]BoundBite[[:space:]]v10.0[[:space:]]Q8[[:space:]]FP8[[:space:]]HIGH[[:space:]]-[[:space:]]Wan2.2.gguf filter=lfs diff=lfs merge=lfs -text
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DaSiWa[[:space:]]BoundBite[[:space:]]v10.0[[:space:]]Q8[[:space:]]FP8[[:space:]]LOW[[:space:]]-[[:space:]]Wan2.2.gguf filter=lfs diff=lfs merge=lfs -text
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DaSiWa[[:space:]]SynthSeduction[[:space:]]v9.0[[:space:]]Q8[[:space:]]FP16[[:space:]]HIGH[[:space:]]-[[:space:]]Wan2.2.gguf filter=lfs diff=lfs merge=lfs -text
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DaSiWa[[:space:]]SynthSeduction[[:space:]]v9.0[[:space:]]Q8[[:space:]]FP16[[:space:]]LOW[[:space:]]-[[:space:]]Wan2.2.gguf filter=lfs diff=lfs merge=lfs -text
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DaSiWa-WAN[[:space:]]2.2[[:space:]]I2V[[:space:]]14B[[:space:]]TastySin[[:space:]]v8[[:space:]]Q6[[:space:]]HIGH[[:space:]]-[[:space:]]Wan2.2.gguf filter=lfs diff=lfs merge=lfs -text
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DaSiWa-WAN[[:space:]]2.2[[:space:]]I2V[[:space:]]14B[[:space:]]TastySin[[:space:]]v8[[:space:]]Q6[[:space:]]LOW[[:space:]]-[[:space:]]Wan2.2.gguf filter=lfs diff=lfs merge=lfs -text
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DaSiWa BoundBite v10.0 Q8 FP8 - Wan2.2.txt
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DaSiWa BoundBite v10.0 Q8 FP8 - Wan2.2
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Recommended Settings
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Steps: 4
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CFG: 1
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Sampler/Scheduler: Euler/Simple, UniPC_BH2/Simple
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Resolution up to 720p (native quality).
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Add other LoRAs with 0.3 - 0.6 at first
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16 or 24 fps, 81 or 97 frames ~ 5s
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Dependencies
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Wan 2.1 VAE
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CLIP-Text-Encoder
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Fixes & Feedback
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If you use LoRAs, try to respect the LoRA training triggers and try some versatile descriptions, most LoRAs will work with 0.3-0.6 (start with 0.3)
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Raise LoRAs in little steps +0.1
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Do not mass add LoRAs, just add 1 or 2 (x2 High+Low)
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Negative prompting do not work with cfg 1, that's a limitation of speed-ups with cfg 1 (except you use NAG)
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Low resolution (e.g.384x576) are for fast samples and will blur fine details, do a higher resolution if you want clear details
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DaSiWa BoundBite v10.0 Q8 FP8 HIGH - Wan2.2.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0ede1a9492889e8d61116e9c25b28715c981ee8b588239173b7c7b372537965
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size 15406608896
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DaSiWa BoundBite v10.0 Q8 FP8 LOW - Wan2.2.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:b25f2079eb49324137f9e5616867ee9db4f54c7bfbb43b5c6dc413eb0cd7ef92
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size 15406608896
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DaSiWa SynthSeduction v9.0 Q8 FP16 - Wan2.2.txt
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DaSiWa SynthSeduction v9.0 Q8 FP16 - Wan2.2
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Recommended Settings
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Steps: 4
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CFG: 1
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Sampler/Scheduler: Euler/Simple, Euler/linear_quadratic
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Resolution up to 720p (native quality).
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Add other LoRAs with 0.3 - 0.6 at first
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16 or 24 fps, 81 or 97 frames ~ 5s
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Dependencies
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Wan 2.1 VAE
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CLIP-Text-Encoder
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💫 Speed + Examples
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Q8 checkpoint - On 16GB VRAM, 64GB RAM, 4 steps, cfg 1, 81 frames
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368p: 120 sec
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480p: 160 sec
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576p: 220 sec
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608p: 340 sec
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672p: 680 sec
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720p: 730 sec
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Most examples are without any additional LoRAs
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With LoRAs are for testing the compatibility
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Initial anime-like example images made by me are also made with my model 🗡️💀 DaSiWa-Illustrious-XL 💀🗡️
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Other models for realistic reasoning
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Fixes & Feedback
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If you use LoRAs, try to respect the LoRA training triggers and try some versatile descriptions, most LoRAs will work with 0.3-0.6 (start with 0.3)
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Raise LoRAs in little steps +0.1
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Do not mass add LoRAs, just add 1 or 2 (x2 High+Low)
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Negative prompting do not work with cfg 1, that's a limitation of speed-ups with cfg 1 (except you use NAG)
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Low resolution (e.g.384x576) are for fast samples and will blur fine details, do a higher resolution if you want clear details
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DaSiWa SynthSeduction v9.0 Q8 FP16 HIGH - Wan2.2.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:4db65f7ae6c381562f4acbcd3131bf83df46715752c26c3563220597dd79c207
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size 15406619136
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DaSiWa SynthSeduction v9.0 Q8 FP16 LOW - Wan2.2.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:99cded937de07314c37be06b82319b46585c4d4fef1f1f6d3eba73e4a8fbf102
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size 15406619136
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DaSiWa-WAN 2.2 I2V 14B TastySin v8 Q6 HIGH - Wan2.2.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8790c511edbf9f3ec54086e9b761b2a6c36362f6ca8db955bafd044e3e07459
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size 12003662336
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DaSiWa-WAN 2.2 I2V 14B TastySin v8 Q6 LOW - Wan2.2.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:01712c96752ce6a115b0a907a7bf29c6c8de17b60c58adf381248b41a1618e1f
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size 12003662336
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DasiwaWan22WorkflowsI2VSVI20_fastfidelityCAioV80.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:061300b795afed3dbfec5cd403d851e2f74b47c833b3f17602a03b3ed71f77d3
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size 24335
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DasiwaWan22WorkflowsI2VSVI20_fastfidelityCSVIV38.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:bde7d29127458f3be33f806d0ce904e1551ebfe85cb6cdc9db1f296f06fa79b7
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size 43729
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