Instructions to use stablediffusionapi/realisticvisionv6b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realisticvisionv6b1 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/realisticvisionv6b1", 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:
- 40d1f1686b409c6fdced7ade4377be6f5bba4d36b825ebe4acf981975cb97cb5
- Size of remote file:
- 3.44 GB
- SHA256:
- 0e67fa35ecc7224b56f61a210dc787f15865afa0a91646bbb9229852b62928e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.