Instructions to use changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download full_encoder_run.json from changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 392 Bytes
-
https://huggingface.co/changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound/resolve/main/full_encoder_run.json
- Command line
-
hf download hf://changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound/full_encoder_run.json
-
curl -L -o full_encoder_run.json https://huggingface.co/changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound/resolve/main/full_encoder_run.json
392 Bytes
| { | |
| "auto_round_commit": "8869842f9741538ea729849d5c23592bdb605e61", | |
| "scheme": "MXFP8", | |
| "iters": 0, | |
| "disable_opt_rtn": true, | |
| "encoder_coverage": [ | |
| "language_model.model.layers", | |
| "vision_tower.transformer.layers", | |
| "multi_modal_projector" | |
| ], | |
| "transformer": "/home/changwa1/FLUX.2-dev-MXFP8-RTN-blocks-only/transformer", | |
| "visual_task_validation": "not yet performed" | |
| } | |