Text-to-Image
Diffusers
Safetensors
English
BriaFiboPipeline
lora
guidance-distillation
scfm
shortcutting-flow-matching
fast-inference
few-step
bria
fibo
Instructions to use ml-resources/Fibo-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ml-resources/Fibo-lite with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("briaai/FIBO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ml-resources/Fibo-lite") 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 text_encoder/generation_config.json from ml-resources/Fibo-lite: direct link, hf CLI and curl.
- Browser
- Download file 169 Bytes
-
https://huggingface.co/ml-resources/Fibo-lite/resolve/main/text_encoder/generation_config.json
- Command line
-
hf download hf://ml-resources/Fibo-lite/text_encoder/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/ml-resources/Fibo-lite/resolve/main/text_encoder/generation_config.json
169 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 128000, | |
| "eos_token_id": 128012, | |
| "pad_token_id": 128004, | |
| "transformers_version": "4.57.3", | |
| "use_cache": false | |
| } | |