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  1. Stable Diffusion 2-1 - a Hugging Face Space by stabilityai. Spaces. stabilityai. stable-diffusion. like10.5k. Runningon CPU Upgrade.

  2. This stable-diffusion-2 model is resumed from stable-diffusion-2-base ( 512-base-ema.ckpt) and trained for 150k steps using a v-objective on the same dataset. Resumed for another 140k steps on 768x768 images. Use it with the stablediffusion repository: download the 768-v-ema.ckpt here. Use it with 🧨 diffusers.

  3. 12 iun. 2024 · Stable Diffusion 3 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features greatly improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.

  4. New stable diffusion finetune ( Stable unCLIP 2.1, Hugging Face) at 768x768 resolution, based on SD2.1-768. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO.

  5. Though it’s highly recognized for its transformer models, hugging face also provides access to the latest Stable diffusion model; and like a true lover of open-source, it’s free.

  6. 9 nov. 2022 · Installing hugging face hub library and login — Once you have generated the token copy it. First, we will download the hugging face hub library using the following code. Note — To render this content with code correctly, I recommend you read it here. !pip install huggingface-hub==0.10.1.

  7. Join the Hugging Face community. and get access to the augmented documentation experience. Collaborate on models, datasets and Spaces. Faster examples with accelerated inference. Switch between documentation themes.

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