Instructions to use briaai/FIBO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briaai/FIBO 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") prompt = "A man holding a goose while screaming" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Documentation the the json structure of the prompt
#8
by raulc0399 - opened
do you have documentation on the prompt structure, i guess in order to take advantage of the json structure one would need to mostly use the same structrue, same key and so on.
The Gemini prompt generator might help since it defines a bunch of Pydantic classes for each part of the prompt: https://huggingface.co/briaai/FIBO-gemini-prompt-to-JSON/blob/main/gemini_prompt_to_json.py
MishaF changed discussion status to closed