1/14/2024 0 Comments Free Imagine 1.3.0![]() ![]() □ feature: loading diffusers based models now supported.□ feature: larger image generations now work MUCH better and stay faithful to the same image as it looks at a smaller size.įor example -size 720p -seed 1 and -size 1080p -seed 1 will produce the same image for SD15.self-attention guidance which makes details of images more accurate.On the plus side, refiners supportsĬutting edge features (SDXL, image prompts, etc) which will be added to imaginairy soon. This was a huge rewrite which is why some features are not yet supported.□ imaginairy is now backed by the refiners library.inpainting and controlnets are not yet supported for SDXL. ![]() □ SDXL (Stable Diffusion Extra Large) models are now supported.or use aimg videogen to generate a video from an image.add -videogen to any image generation to create a short video from the generated image.□ video generation using Stable Video Diffusion.decoding_t INTEGER Number of frames decoded at a time. seed INTEGER Seed for random number generator. cond-aug FLOAT Conditional augmentation. r, -repeats INTEGER How many times to repeat the renders. motion-amount INTEGER How much motion to generate. ![]() output-fps INTEGER FPS for the output video fps INTEGER FPS for the AI to target when generating video One of: svd, svd_xt, svd_image_decoder, svd_xt_image_decoder start-image TEXT Input path for image file. On Windows you'll need to install torch 2.0 first via Usage: aimg videogen Īimg videogen -start-image assets/rocket-wide.png Rushed release of Stable Diffusion Video! > imagine "a scenic landscape" "a photo of a dog" "photo of a fruit bowl" "portrait photo of a freckled woman" "a bluejay" # Make an AI video ![]() # on macOS, make sure rust is installed first # be sure to use Python 3.10, Python 3.11 is not supported at the moment "just works" on Linux and macOS(M1) (and sometimes windows). Pythonic generation of stable diffusion images and videos *!. ![]()
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