Instructions to use anshell/FLUX.2-dev-bnb-4bit-nf4-double with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anshell/FLUX.2-dev-bnb-4bit-nf4-double with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("anshell/FLUX.2-dev-bnb-4bit-nf4-double", 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
Download text_encoder/generation_config.json from anshell/FLUX.2-dev-bnb-4bit-nf4-double: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/anshell/FLUX.2-dev-bnb-4bit-nf4-double/resolve/main/text_encoder/generation_config.json
- Command line
-
hf download hf://anshell/FLUX.2-dev-bnb-4bit-nf4-double/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/anshell/FLUX.2-dev-bnb-4bit-nf4-double/resolve/main/text_encoder/generation_config.json
163 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 1, | |
| "do_sample": true, | |
| "eos_token_id": 2, | |
| "temperature": 0.15, | |
| "transformers_version": "5.14.1" | |
| } | |