Instructions to use Rareshika/IOAI_CV_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rareshika/IOAI_CV_8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rareshika/IOAI_CV_8", 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:
- 91ecf12df643eaafd9f6b6108609006ba833d17c3b6f43e72eda6d1ce8a91740
- Size of remote file:
- 3.44 GB
- SHA256:
- 35b34f7aa9eb7f5e51b6567afbb1b4e3bdadd657255636ed2b3a388a7663f60a
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