Instructions to use elef4nt/sdmlx-acceleration-patches with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use elef4nt/sdmlx-acceleration-patches with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir sdmlx-acceleration-patches elef4nt/sdmlx-acceleration-patches
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Ctrl+K
- Hyper-Flux.1-Dev-4-step-Lora.sdmlxpatch
- Hyper-SDXL-12steps-CFG-lora.sdmlxpatch
- Hyper-SDXL-8steps-CFG-lora.sdmlxpatch
- dmd2-lighting8step_cfg1.5.sdmlxpatch
- dmd2_sdxl_4step_lora_fp16.sdmlxpatch
- lcm-lora-sdxl.sdmlxpatch
- sdxl_lightning_4step_lora.sdmlxpatch
- sdxl_lightning_8step_lora.sdmlxpatch
- 117 Bytes
- 3.45 kB