This model has been trained on 12k images based on the Pixart-Sigma model (it is not compatible with Stable Diffusion!). To use this model, please refer to this article :<a target="_blank" rel="ugc" href="https://civarchive.com/articles/5267/pix-art-sigma-sdxl-workflow-15-15-steps">https://civarchive.com/articles/5267/pix-art-sigma-sdxl-workflow-15-15-steps</a>The file you download should be placed in the checkpoints folder. So this model is very NSFW, but it follows the prompt very well because it is a Pixart-Sigma model.You need to use fully-formed sentences and not WD14 tags to fully use this model's potential. A nice trick is to ask chatgpt to generate the prompts for you.To control the nudity, you can try to put this in the negative prompt:<ol><li>adult move model</li><li>she has her beasts exposed</li><li>she has her vagina exposed</li><li>she is totally naked</li><li>she is partially naked</li></ol>These mostly suffice to eliminate the nudity. When it is not, there is most likely something in the positive prompt that triggers it.In the initial release of this model, a 512 pixels multi-step model is released. The ideal resolutions for it are:<ul><li>512x512</li><li>512x768</li><li>768x512</li></ul>In the upcoming version, the ideal ones are:<ul><li>1024x1024</li><li>800x1200</li><li>1200x800</li></ul>Also note it is only usable through comfyui as there is no extension for it in Automatic1111 at the time of writing. Since Pixart-Sigma is new compared to Stable Diffusion, some of the tools in comfyui will not work. Those tools are:<ul><li>Face detailer</li><li>Iterative upscale</li><li>Latent upscale</li></ul>Ultimate Upscale do work with Pixart-Sigma. I highly suggest using Face Detailer with a SD 1.5 model to get good results with the 512 pixels model.PS . It includes watermarks, it requires some additional training data to get rid of those...The primary dataset source is from Score Classic, scraped from pornpics.com/

VintageKnockers Pixart-Sigma

1024 pixels multistep initial version

Files with SHA256: f46d93ab0c2a0f18e78c6c0d48d553a69563a71e4fe01b2f06467186bef382d8