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1. huggingface.co › runwayml › stable-diffusion-v1-5runwayml/stable-diffusion-v1-5 · Hugging Face

   huggingface.co › runwayml › stable-diffusion-v1-5

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   Stable Diffusion is a latent text-to-image diffusion model that generates photo-realistic images from any text input. It is fine-tuned on LAION-Aesthetics v2 5+ and has a CreativeML OpenRAIL M license.

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     Text to Image generation using Stable Diffusion || HuggingFace Tutorial Diffusers Library

     Oct 28, 2023

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     Access Stable Diffusion from Hugging Face with Colab Tutorial | Stable Diffusion Python

     Aug 22, 2022

     31.6K Views

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     Install Stable Diffusion Locally (In 3 minutes!!)

     Oct 2, 2022

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3. huggingface.co › spaces › runwaymlStable Diffusion v1-5 - a Hugging Face Space by runwayml

   huggingface.co › spaces › runwayml

   Discover amazing ML apps made by the community. stable-diffusion-v1-5. like 711

4. www.hugging-face.org › huggingface-stable-diffusionStable Diffusion - Hugging Face

   www.hugging-face.org › huggingface-stable-diffusion

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   Nov 1, 2023 · Hugging Face Stable Diffusion XL is a text-to-image generative model based on Latent Diffusion. It has two variants: a dual-stage process with SDEdit and a single-stage process with refinement. See evaluation, resources and limitations.

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6. huggingface.co › v0 › enThe Stable Diffusion Guide - Hugging Face

   huggingface.co › v0 › en

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   The most obvious step to take to improve quality is to use better checkpoints. Since the release of Stable Diffusion, many improved versions have been released, which are summarized here: Official Release - 22 Aug 2022: Stable-Diffusion 1.4. 20 October 2022: Stable-Diffusion 1.5. 24 Nov 2022: Stable-Diffusion 2.0.

7. github.com › runwayml › stable-diffusionGitHub - runwayml/stable-diffusion: Latent Text-to-Image ...

   github.com › runwayml › stable-diffusion

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   Oct 18, 2022 · Stable Diffusion is a latent text-to-image diffusion model that uses a frozen CLIP ViT-L/14 text encoder and a 860M UNet. It is trained on 512x512 images from LAION-5B and can be used for text-to-image generation with various options and checkpoints.

8. github.com › Stability-AI › StableDiffusionGitHub - Stability-AI/stablediffusion: High-Resolution Image ...

   github.com › Stability-AI › StableDiffusion

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   Version 2.0. New stable diffusion model ( Stable Diffusion 2.0-v) at 768x768 resolution. Same number of parameters in the U-Net as 1.5, but uses OpenCLIP-ViT/H as the text encoder and is trained from scratch. SD 2.0-v is a so-called v-prediction model.

9. People also ask

   What is huggingface stable diffusion XL?

   • HuggingFace Stable Diffusion XL is a multi-expert pipeline for latent diffusion. Initially, a base model produces preliminary latents, which are then refined by a specialized model (found here) that focuses on the final denoising. The base model is also functional independently.

   Stable Diffusion - Hugging Face

   www.hugging-face.org/huggingface-stable-diffusion/

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   What is stable diffusion V1?

   • pip install -e . Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L/14 text encoder for the diffusion model. The model was pretrained on 256x256 images and then finetuned on 512x512 images.

   GitHub - runwayml/stable-diffusion: Latent Text-to-Image Diffusion

   github.com/runwayml/stable-diffusion

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   What is stable diffusion 2?

   • Stable Diffusion 2 is a latent diffusion model conditioned on the penultimate text embeddings of a CLIP ViT-H/14 text encoder. We provide a reference script for sampling. This script incorporates an invisible watermarking of the outputs, to help viewers identify the images as machine-generated .

   Stable Diffusion Version 2 - GitHub: Let’s build from here

   github.com/Stability-AI/StableDiffusion

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   Where can I find stable diffusion V2 weights?

   • The weights are available via the StabilityAI organization at Hugging Face under the CreativeML Open RAIL++-M License. Stable Diffusion v2 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 865M UNet and OpenCLIP ViT-H/14 text encoder for the diffusion model.

   Stable Diffusion Version 2 - GitHub: Let’s build from here

   github.com/Stability-AI/StableDiffusion

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10. github.com › huggingface › blogblog/stable_diffusion.md at main · huggingface/blog · GitHub

    github.com › huggingface › blog

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    Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, Stability AI and LAION. It is trained on 512x512 images from a subset of the LAION-5B database.