This model card was written by: Robin Rombach and Patrick Esser and is based on the DALL-E Mini model card. Resources for more information: GitHub Repository, Paper.Ĭite as: = , It is a Latent Diffusion Model that uses a fixed, pretrained text encoder ( CLIP ViT-L/14) as suggested in the Imagen paper. Model Description: This is a model that can be used to generate and modify images based on text prompts. Remove Object from Image Step by Step: upload image by pressing Browse select the object or things that you want to delete. See also the article about the BLOOM Open RAIL license on which our license is based. License: The CreativeML OpenRAIL M license is an Open RAIL M license, adapted from the work that BigScience and the RAIL Initiative are jointly carrying in the area of responsible AI licensing. Most homeowners know a paint refresh is a must when its time to sell their home, so paint pros are often asked to make color suggestions when they take on. Stable Diffusion Inpainting is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input, with the extra. Model type: Diffusion-based text-to-image generation model inpaintinganisoInpaintingAniso Perform an inpainting by. ![]() ![]() Download the weights sd-v1-5-inpainting.ckptĭeveloped by: Robin Rombach, Patrick Esser harmonicinterpolationHarmonicInterpolation Perform a harmonic interpolation on an image region.Face of a yellow cat, high resolution, sitting on a park bench These inpainting methods use the uncorrupted data to form a crude model for the corrupted data which is then replaced into the RFI flagged regions, thereby.
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