FOR THE BEST RESULTS USE THE SAMPLER EULER A
The samples are from Forge/Auto1111 img2img though i did most of my testing using openOutpaint because i prefer it over the default plus outpainting is so much easier but i chose to upload the img2img samples because openOutpaint doesn't hold the metadata in the images you generate and just want to be as transparent as possible, whether you use img2img or openOutpaint or even comfyui (although not tested on,i don't see any reason it wouldn't work)..
One thing i forgot to add for those that don't know, you should have your Inpainting conditioning mask strength set to 0.99 which you can do by going to settings and i believe it's in the img2img section, mines been moved with the Quicksettings list... So if you use openOutpaint like i do anytime it brings up that screen to change it to 1 just click no. This took me over 2 months of trial and error with so many merges and combinations trying to get a ponydiffusion inpainting model because as I'm sure for the ones that have tried to create a ponydiffusion inpainting model the normal way, it will generate images but its basically not usable. It was trained on sdxl so idk why it's the only model that does this and It's not just ponydiffusion but any fine-tuned ponydiffusion model has the same problem but i came across two fine-tuned pd models called
and
that was very very close to the default ponydiffusion model but the problem wasn't nearly as bad but still unusable as it was so these were the steps that i took if you want to for whatever reason recreate it yourself. you'll also need
which is another fine-tuned ponydiffusion model and lastly AnieaseXL_V2.0
which is the only model that's not trained on ponydiffusion but i used it because its a pretty good model overall with characters it already knows but mostly for the way the inpainting model's color blends into your image its very clean and seamless
This step idk if its mandatory but I'll list it, one test i did was i used the Model Toolkit Extension loaded the normal ponydiffusion_v6 model clicked on the advanced tab and then in the import i selected the t-ponynai3_v3.5 model and selected UNET-XL and clicked save and used this model in the merge i mention below (when i reference using the t-ponynai3 model, it was technically the ponydiffusion_v6XL model with a swapped UNET-XL)