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
model_index.json is missing from the root of the repository.
#2
by LogitWorx - opened
I recommend removing config.json and replacing it with model_index.json so that the Diffusers model loader can load the model.
In general, this is how all Diffusers formatted repos look like (unless you want to try the newer experimental modular_model_index.json).