Adding semantic labels for segment anything (Updated 2 years, 2 months ago)
Adding semantic labels for segment anything
A linear estimator on top of clip to predict the aesthetic quality of pictures
Multilingual Stable Diffusion
a dreambooth model trained on a diverse set of analog photographs
Anime-themed text-to-image stable diffusion model
Audio-Driven Synthesis of Photorealistic Portrait Animations
high-quality, highly detailed anime style stable-diffusion
high-quality, highly detailed anime style stable-diffusion with better VAE
high-quality, highly detailed anime-style Stable Diffusion models
App Icons Generator V1 (DreamBooth Model)
Separate Anything You Describe
Real-Time High-Resolution Background Matting
Colorization using a Generative Color Prior for Natural Images
Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing with ControlNet
Language-Free Training of a Text-to-Image Generator with CLIP
Clip-Guided Diffusion Model for Image Generation
Generates pokemon sprites from prompt
openai/clip-vit-large-patch14 with Transformers
A Visual Language Model for GUI Agents
powerful open-source visual language model
This model is cold. You'll get a fast response if the model is warm and already running, and a slower response if the model is cold and starting up.
