![]() ![]() The checkpoint is fully supported in img2img tab. Normally you would do this with denoising strength set to 1.0, since you don't actually want the normal img2img behaviour to have any influence on the generated image. It works in the same way as the current support for the SD2.0 depth model, in that you run it from the img2img tab, it extracts information from the input image (in this case, CLIP or OpenCLIP embeddings), and feeds those into the model in addition to the text prompt. Support for stable-diffusion-2-1-unclip checkpoints that are used for generating image variations. As of version 1.6.0, this is now implemented in the webui natively. This secondary model is designed to process the 1024×1024 SD-XL image near completion, to further enhance and refine details in your final output picture. It's tested to produce same (or very close) images as Stability-AI's repo (need to set Random number generator source = CPU in settings) This is a model designed for generating quality 1024×1024-sized images. You should merge this VAE with the models. ![]() Using this model will not fix fp16 issues for all models. (Here is the most up-to-date VAE for reference) Bad/Outdated info. They have a built-in trained vae by madebyollin which fixes NaN infinity calculations running in fp16. ![]() Read here for a list of tips for optimizing inference: Optimum-SDXL-Usage Downloads Support for SD-XL was added in version 1.5.0, with additional memory optimizations and built-in sequenced refiner inference added in version 1.6.0. This is a feature showcase page for Stable Diffusion web UI.Īll examples are non-cherrypicked unless specified otherwise. ![]()
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