All in one WAN 2.2 model merges: 4-steps, 1 CFG, 1 model speeeeed (both T2V and I2V)

by AI Generated Robotic ContentImagePosted on Comments are Disabled

I made up some WAN 2.2 merges with the following goals: WAN 2.2 features (including “high” and “low” models) 1 model Simplicity by including VAE and CLIP Accelerators to allow 4-step, 1 CFG sampling WAN 2.1 lora compatibility … and I think I got something working kinda nicely. Basically, the models include the “high” and …

Read more “All in one WAN 2.2 model merges: 4-steps, 1 CFG, 1 model speeeeed (both T2V and I2V)”

How to make dog

by AI Generated Robotic ContentImagePosted on Comments are Disabled

Prompt: long neck dog If neck isn’t long enough try increasing the weight (Long neck:1.5) dog The results can be hit or miss. I used a brute force approach for the image above, it took hundreds of tries. Try it yourself and share your results submitted by /u/AnimeDiff [link] [comments]

The Gory Details of Finetuning SDXL and Wasting $16k

by AI Generated Robotic ContentImagePosted on Comments are Disabled

Details on how the big diffusion model finetunes are trained is scarce, so just like with version 1, and version 2 of my model bigASP, I’m sharing all the details here to help the community. However, unlike those versions, this version is an experimental side project. And a tumultuous one at that. I’ve kept this …

Read more “The Gory Details of Finetuning SDXL and Wasting $16k”