Convert a Stable Diffusion XL checkpoint to Diffusers and open a PR
View and submit LLM benchmark evaluations
Submit deepfake detection models for evaluation
Create demo spaces for models on Hugging Face
Text-To-Speech (TTS) Evaluation using objective metrics.
Display leaderboard of language model evaluations
Calculate memory usage for LLM models
Measure over-refusal in LLMs using OR-Bench
Quantize a model for faster inference
Explore and manage STM32 ML models with the STM32AI Model Zoo dashboard
Find and download models from Hugging Face
Compare LLM performance across benchmarks
SolidityBench Leaderboard
SD-XL To Diffusers (fp16) is a tool designed to convert Stable Diffusion XL checkpoints into a format compatible with the Diffusers library, leveraging fp16 precision for optimized performance. This tool simplifies the process of adapting pre-trained models for use in diffusion-based generative tasks while maintaining efficiency and accuracy.
What does SD-XL To Diffusers (fp16) do?
It converts Stable Diffusion XL checkpoints into Diffusers-compatible models with fp16 precision.
Why is fp16 used instead of fp32?
fp16 reduces memory usage and accelerates inference while maintaining sufficient precision for most generative tasks.
Where can I find pre-converted models?
Converted models are typically shared through pull requests in the Diffusers repository or published by the community.
How do I handle errors during conversion?
Check the logs for specific error messages and ensure all dependencies are up-to-date. If issues persist, consider reaching out to the community or reviewing the documentation.
Can I use this tool for other models?
Currently, it is optimized for Stable Diffusion XL checkpoints. Support for other models may be added in future updates.