Text-to-Image
Diffusers
JAX
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use BlooBarri/Bloo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlooBarri/Bloo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BlooBarri/Bloo", 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
- Xet hash:
- a0846a7526115d2fbca03dd6a4f4b2c31764bce1d950b367d8383efa54bcaf01
- Size of remote file:
- 3.56 GB
- SHA256:
- b00de85cea68e47534459984722db6eb816b4d75b23c4d3e00edc8cf72e52645
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