Text-to-Image
Diffusers
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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 Settings
- Draw Things
- DiffusionBee
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#1)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (ba8aae05bbc05c43b3e43d08fd3b313f41a2c01e)89d3d12
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