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  1. Stable Diffusion v2 Model Card This model card focuses on the model associated with the Stable Diffusion v2 model, available here.. 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 ...

  2. Stable diffusion中文网为广大国内用户提供相关资源支持,使用经验分享,Stable diffusion是一种基于潜在扩散模型(Latent Diffusion Models)的文本到图像生成模型,开源且可独立安装部署,是生成式AI绘画神器。

  3. 24 de ago. de 2023 · Stable Diffusionの使い方を初心者の方にも分かりやすく丁寧に説明します。Stable Diffusionの基本操作や設定方法に加えて、モデル・LoRA・拡張機能の導入方法やエラーの対処法・商用利用についてもご紹介します!

  4. web ai deep-learning torch pytorch unstable image-generation gradio diffusion upscaling text2image image2image img2img ai-art txt2img stable-diffusion Resources. Readme License. AGPL-3.0 license Activity. Stars. 137k stars Watchers. 1.1k watching Forks. 26k forks Report repository Releases 25. 1.9.4 Latest

  5. Aquí nos gustaría mostrarte una descripción, pero el sitio web que estás mirando no lo permite.

  6. Model type: Diffusion-based text-to-image generative model; License: CreativeML Open RAIL++-M License; Model Description: This is a model that can be used to generate and modify images based on text prompts. It is a Latent Diffusion Model that uses two fixed, pretrained text encoders (OpenCLIP-ViT/G and CLIP-ViT/L).

  7. Stable Diffusion v1 Estimated Emissions Based on that information, we estimate the following CO2 emissions using the Machine Learning Impact calculator presented in Lacoste et al. (2019). The hardware, runtime, cloud provider, and compute region were utilized to estimate the carbon impact.