Instructions to use vanch007/Qwen-Image-2.1-Heretic-mlx-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mflux
How to use vanch007/Qwen-Image-2.1-Heretic-mlx-8bit with mflux:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use vanch007/Qwen-Image-2.1-Heretic-mlx-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-Image-2.1-Heretic-mlx-8bit vanch007/Qwen-Image-2.1-Heretic-mlx-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Qwen-Image-2.1-Heretic (8-bit) โ MLX Native
Native Apple Silicon (MLX) port of Qwen-Image-2.1 with the Heretic text encoder (pottokao/Qwen-Image-2.1-Text-Encoder-Heretic).
- Precision: 8-bit
- Size on disk: ~16.6 GB
- Features: Native Apple Silicon Metal acceleration, Text-to-Image, Multi-reference Image Editing, RGBA transparent output, optional Viggle Turbo LoRA acceleration.
- Description: Balanced 8-bit quantized MLX port preserving 95%+ of original detail at roughly half the disk and memory footprint.
Requirements
Install mflux:
pip install mflux
Usage
CLI
mflux-generate-qwen-2.1-edit --model vanch007/Qwen-Image-2.1-Heretic-mlx-8bit --prompt "A serene mountain lake at golden hour" --steps 40 --seed 42 --output lake.png
Turbo Acceleration (6 steps)
mflux-generate-qwen-2.1-edit --model vanch007/Qwen-Image-2.1-Heretic-mlx-8bit --lora-preset viggle-turbo --prompt "A red ceramic teapot on a wooden table" --steps 6 --guidance 1.0 --output turbo.png
- Downloads last month
- 290
Hardware compatibility
Log In to add your hardware
Quantized
Model tree for vanch007/Qwen-Image-2.1-Heretic-mlx-8bit
Base model
Qwen/Qwen-Image-2.1