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 transformer/quantization_config.json from changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 1.17 kB
-
https://huggingface.co/changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound/resolve/main/transformer/quantization_config.json
- Command line
-
hf download hf://changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound/transformer/quantization_config.json
-
curl -L -o quantization_config.json https://huggingface.co/changwangss/FLUX.2-dev-MXFP8-RTN-FullEncoder-AutoRound/resolve/main/transformer/quantization_config.json
1.17 kB
| { | |
| "quant_method": "auto-round", | |
| "packing_format": "auto_round:llm_compressor", | |
| "bits": 8, | |
| "group_size": 32, | |
| "sym": true, | |
| "data_type": "mx_fp", | |
| "iters": 0, | |
| "model_free": true, | |
| "autoround_version": "0.17.0", | |
| "enable_quanted_input": false, | |
| "block_name_to_quantize": "transformer_blocks,single_transformer_blocks", | |
| "act_bits": 8, | |
| "act_data_type": "mx_fp", | |
| "act_dynamic": true, | |
| "act_group_size": 32, | |
| "act_sym": true, | |
| "extra_config": { | |
| "double_stream_modulation_img.linear": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "double_stream_modulation_txt.linear": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "single_stream_modulation.linear": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "norm_out.linear": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| }, | |
| "proj_out": { | |
| "bits": 16, | |
| "data_type": "float", | |
| "act_bits": 16, | |
| "act_data_type": "float" | |
| } | |
| } | |
| } |