Instructions to use ByteDance/Bernini-R-1.3B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ByteDance/Bernini-R-1.3B-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ByteDance/Bernini-R-1.3B-Diffusers", 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
Commit History
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Fix transformer/config.json: 14B dims should be 1.3B (#1)
- Update transformer/config.json (3fef913143df05ccc4a8ddf2e578781fdde8afb2) Co-authored-by: stuttlepress <FartingBackwards@users.noreply.huggingface.co>ff4c5d4
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