Instructions to use AlperKTS/Krea-2-SVDQuant-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use AlperKTS/Krea-2-SVDQuant-ComfyUI with Diffusion Single File:
# 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
- Notebooks
- Google Colab
- Kaggle
Download workflows/krea2_quantize_api.json from AlperKTS/Krea-2-SVDQuant-ComfyUI: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/AlperKTS/Krea-2-SVDQuant-ComfyUI/resolve/main/workflows/krea2_quantize_api.json
- Command line
-
hf download hf://AlperKTS/Krea-2-SVDQuant-ComfyUI/workflows/krea2_quantize_api.json
-
curl -L -o krea2_quantize_api.json https://huggingface.co/AlperKTS/Krea-2-SVDQuant-ComfyUI/resolve/main/workflows/krea2_quantize_api.json
627 Bytes
| { | |
| "1": { | |
| "class_type": "Krea2SVDQuantEnvCheck", | |
| "inputs": {}, | |
| "_meta": { | |
| "title": "1. Env Check - run this first, it needs nothing" | |
| } | |
| }, | |
| "2": { | |
| "class_type": "Krea2SVDQuantQuantize", | |
| "inputs": { | |
| "source_model": "krea2_bf16.safetensors", | |
| "format": "svdq", | |
| "rank": 64, | |
| "rank_alloc": "uniform", | |
| "refine_iters": 100, | |
| "groupsize": 256, | |
| "variant": "turbo", | |
| "output_name": "", | |
| "overwrite": false, | |
| "act_stats": "", | |
| "seed": 0 | |
| }, | |
| "_meta": { | |
| "title": "2. Quantize - set source_model and act_stats, then Queue" | |
| } | |
| } | |
| } | |