Stable Diffusion x4 upscaler model card This model card focuses on the model associated with the Stable Diffusion Upscaler, available here. This model is trained for 1.25M steps on a 10M subset of LAION containing images 2048x2048 . The model was trained on crops of size 512x512 and is a text guided latent upscaling diffusion model. In addition to the textual input, it receives a noise level as an input parameter, which can be used to add noise to the low resolution input according to a predefined diffusion schedule. Use it with the stablediffusion repository: download the x4 upscaler ema.ckpt here. Use it with 🧨 diffusers Model Details Developed by: Robin Rombach, Patrick Esser Model type: Diffusion based text to image generation model Language(s): English License: CreativeML Open RAIL++ M License Model Description: This is a model that can be used to generate and modify images based on text prompts. It is a Latent Diffusion Model that uses a fixed, pretrained text encoder (OpenCLIP ViT/H). Resources for more information: GitHub Repository. Cite as: @InProceedings{Rombach 2022 CVPR, author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer,…
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