Instructions to use diffusers/flux2-bnb-4bit-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/flux2-bnb-4bit-modular with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/flux2-bnb-4bit-modular", 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
- Draw Things
- DiffusionBee
File size: 405 Bytes
438f096 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
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"backend": "tokenizers",
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"eos_token": "</s>",
"is_local": false,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"processor_class": "PixtralProcessor",
"tokenizer_class": "LlamaTokenizer",
"unk_token": "<unk>",
"use_default_system_prompt": false,
"variant": null
}
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