File size: 4,842 Bytes
55f0f39 06314c4 55f0f39 07db014 16b86ed 6c7be99 7542d60 df72d61 55f0f39 b311c2b 835b25d 68958fd 1381258 d90d9c8 b648659 fa967a5 b5a5478 2da4dc3 4790d00 c8c3bb8 58964dc cf74e2d 8ed451d fa967a5 0707099 61b7149 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
---
base_model:
- Wan-AI/Wan2.2-I2V-A14B
- Wan-AI/Wan2.2-T2V-A14B
tags:
- wan
- wan2.2
- accelerator
pipeline_tag: image-to-video
---
These are mixtures of WAN 2.2 and other WAN-like models and accelerators (with CLIP and VAE also included) to provide a fast, "all in one" solution for making videos as easily and quickly as possible. FP8 precision. Generally the latest version available for each type of model (image to video or text to video) is recommended.
**NSFW Merges:** Degenerates should steer clear of these merges, as they are only for the most civilized people of culture or scientific researchers. These merge various spicy WAN 2.1+2.2 LORAs at generally low strengths to provide a "jack of all trades, master of none" all in one despicable solution. If you are not getting the results you want, add more LORAs or just use the non-NSFW versions with hand-picked LORAs.
You just need to use the basic ComfyUI "Load Checkpoint" node with these, as you can take the VAE, CLIP and Model all from one AIO safetensors (saved in your 'checkpoints' folder). All models are intended to use 1 CFG and 4 steps. See sampler recommendations for each version below.
WAN 2.1 LORA compatibility is generally still good, along with "low noise" WAN 2.2 LORA compatibility (do not use "high noise" LORAs). You might need to adjust LORA strengths (up or down) to get results you want, though.
Seems to work even on 8GB VRAM:
**CHANGELOG/VERSIONS:**
**base:** This is the first attempt and very "stable", but mostly WAN 2.1 with few WAN 2.2 features. sa_solver recommended.
**V2:** This is a more dynamic mixture with more WAN 2.2 features. sa_solver OR euler_a sampler recommended. Suffers from minor color shifts and noise in I2V, typically just at the start.
**V3:** This is a mixture of SkyReels and WAN 2.2, which should improve prompt adherence and quality. euler_a sampler recommended, beta scheduler. Suffers from minor color shifts and noise in I2V, typically just at the start.
**V4:** WAN 2.2 Lightning in the mix! euler_a/beta recommended. I2V noise and color shifting generally improved, but motion is a bit overexaggerated.
**V5:** Improved overexaggeration of I2V model. euler_a/beta recommended.
**V6:** New merging structure and overall significantly improved quality. I2V noise for the first 1-2 frames still exists, but it clears up much better than previous versions. Some WAN 2.1 LORAs at heavy strengths may cause up to 5 poor early frames with T2V, where discarding (or lowering strengths) may help. sa_solver/beta recommended. I2V rarely suffers from some dramatic scene shifts.
**V7:** I2V scene shifting should be fixed, but some I2V noise persists (generally for just the first 1-2 frames). No changes needed for the T2V model, so that remains at V6. sa_solver/beta recommended.
**V8:** T2V is now based entirely off of WAN 2.2 "low" (with PUSA, SkyReels and Lightning accelerators mixed in), which should resolve noise problems with it (8.1 adds more SkyReels). I2V scaled back some of the WAN 2.2 mix, which was contributing to noise problems. There still is some minor I2V noise, but more of a delicate balance of WAN 2.2 + SkyReels to keep decent motion and flexibility. Euler_a/beta recommended.
**V9:** Removed PUSA and SkyReels from the WAN 2.2-side of I2V (and completely from T2V). as I think PUSA/SkyReels wasn't consistently helping (and sometimes hurting) when applied to WAN 2.2. This should provide a more reliable base to work from. **euler_a/beta** recommended, but feel free to experiment with sa_solver/beta or others!
Looking for GGUFs? Looks like DooFY87 on CivitAI has been doing that:
https://civitai.com/models/1855105/rapid-wan-22-i2v-gguf
Looking for FP16 precision? TekeshiX has been helping me build variants in FP16 format. These should be the V5 I2V model:
https://huggingface.co/TekeshiX/RAPID-AIO-FP16/tree/main
**DISCLAIMER:** As you may expect, some compromises had to be made to reach this level of speed and simplicity. If you want more complex workflows and longer generation times to run "full WAN 2.2"'s pair of models (which will give higher quality results), or control over accelerator LORAs included in this merge, there are many resources elsewhere to do that. |