The CLIP Interrogator is a prompt engineering tool that combines OpenAI's CLIP and Salesforce's BLIP to optimize text prompts to match a given image. Use the resulting prompts with text-to-image models like Stable Diffusion to create cool art!

SDXL trained on a small cybertruck dataset

An attempt to render Teenage Mutant Ninja Turtles: Mutant Mayhem-like images

Fine-tuned SDXL for generating portraits with Ironman Helmet

Dreambooth finetuning of Stable Diffusion (v1.5.1) on Avatar art style by Lambda Labs

AnimateDiff-Lightning: Cross-Model Diffusion Distillation

image to text generation

Zeroscope V2 XL & 576w

URPM V1.3 Model (Text2Img, Img2Img and Inpainting)

batch inference for dreambooth trainings

Multilingual E5-large language embedding model

Take a list of image URLs as frames and output a video

Source: NousResearch/Obsidian-3B-V0.5 ✦ Worlds smallest multi-modal LLM

SDXL model trained on the cult movie AKIRA

Frame Interpolation for Large Scene Motion

Generates speech from text

End-to-End Document Image Enhancement Transformer

Modify images using semantic segmentation

A 6B parameter open bilingual chat LLM | 开源双语对话语言模型

A 13 billion parameter Llama tuned for code completion