Instructions to use RishithaSS/dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RishithaSS/dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RishithaSS/dog", 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:
- 11b4c89ab4c1dff54d02b48194c0038b9f9ce729bf9d1201196df04770c96cb1
- Size of remote file:
- 492 MB
- SHA256:
- 86fdc07648d52476a84fe56c4b596494d13b880eb35fcf04bfd15a341e83d008
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