ehristoforu/Stable Cascade

Demos : multimodalart : https://hf.co/spaces/multimodalart/stable-cascade ehristoforu: https://hf.co/spaces/ehristoforu/Stable-Cascade Stable Cascade This model is built upon the Würstchen architecture and its main difference to other models like Stable Diffusion is that it is working at a much smaller latent space. Why is this important? The smaller the latent space, the faster you can run inference and the cheaper the training becomes. How small is the latent space? Stable Diffusion uses a compression factor of 8, resulting in a 1024x1024 image being encoded to 128x128. Stable Cascade achiev

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