Convert your Stable Diffusion checkpoints quickly and easily.
-
Updated
Mar 14, 2023 - Python
Convert your Stable Diffusion checkpoints quickly and easily.
Stable Diffusion UI: Diffusers (CUDA/ONNX)
Fast Stable Diffusion CLI +Gradio
Gradio based tool to run opensource LLM models directly from Huggingface
Utility for Safetensors Files
Serialize JAX, Flax, Haiku, or Objax model params with 🤗`safetensors`
🤝 Trade any tensors over the network
Modern Stable Diffusion models family - Fluently
This repository is for profiling, extracting, visualizing and reusing generative AI weights to hopefully build more accurate AI models and audit/scan weights at rest to identify knowledge domains for risk(s).
dataset, train, inference
Single safetensors file support Apple MLX Stable Diffusion
This tool processes images and generates textual descriptions using advanced machine learning models
(Windows/Linux) Local WebUI for finetuning, evaluation and generation of neural network models (LLM and StableDiffusion) on python (In Gradio interface)
A `fastjsonschema`-based verifier for `safetensors` header JSON
Convert .safetensors and .ckpt inpainting files to diffusers pytorch
A pure python impl of safetensors requiring no rustc to be built.
This Python script converts PyTorch pickle (.pt) files to the Safetensors format. It's useful for converting both embedding and VAE (Variational Autoencoder) files.
Add a description, image, and links to the safetensors topic page so that developers can more easily learn about it.
To associate your repository with the safetensors topic, visit your repo's landing page and select "manage topics."