Instructions to use stablediffusionapi/bra-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/bra-v7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/bra-v7", 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:
- 7258979584e98113d8daa3834276aeef4d3a7a361743d9aafe3d9461344e72bf
- Size of remote file:
- 167 MB
- SHA256:
- 02ea1be367abcdc2536b40acd115444018f5befd039f1a5ae776b31c873c5984
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