Instructions to use OFT/MODEL_SD15_RockRaiderRuby_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OFT/MODEL_SD15_RockRaiderRuby_v01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OFT/MODEL_SD15_RockRaiderRuby_v01", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of the sunset" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 4d3b1aaf663399d0d29f9ee58d3db8b3038a18852ab369c7a18c5153bd86c005
- Size of remote file:
- 492 MB
- SHA256:
- a30c78c75882bd8626d97ef3cc0880f433c6468ea49a641cb5fdc14dfc698813
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