Stable Diffusion web UI
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Updated
May 23, 2024 - Python
Stable Diffusion web UI
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Kandinsky 2 — multilingual text2image latent diffusion model
Stable Diffusion in pure C/C++
Multi-Platform Package Manager for Stable Diffusion
Colab notebook for Stable Diffusion Hyper-SDXL.
Beautiful and Easy to use Stable Diffusion WebUI
Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
Personalization for Stable Diffusion via Aesthetic Gradients 🎨
Generative AI for the Blender VSE: Text, video or image to video, image and audio in Blender Video Sequence Editor.
Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
[SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
基于Stable Diffusion优化的AI绘画模型。支持输入中英文文本,可生成多种现代艺术风格的高质量图像。| An optimized text-to-image model based on Stable Diffusion. Both Chinese and English text inputs are available to generate images. The model can generate high-quality images in several modern art styles.
A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.
Local image generation using VQGAN-CLIP or CLIP guided diffusion
A collection of arbitrary text to image papers with code (constantly updating)
Open reproduction of MUSE for fast text2image generation.
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