Instructions to use msoz7/stableDiffusionBcc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use msoz7/stableDiffusionBcc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("msoz7/stableDiffusionBcc", 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
- Xet hash:
- 286fbd9b4da2d85dc603f379d0cf13da79d3f47a53241da6967cce70469bd7d8
- Size of remote file:
- 492 MB
- SHA256:
- afa6ee856df97367b2db640ed88c4092050af398e106ac3968edaebd59ae63bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.