Instructions to use KamCastle/copaxRealistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/copaxRealistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/copaxRealistic", 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:
- 3faeeb0c3ed8cf25fc4c45eda8525a094001edbda40e0fde52eaedd4bb7ea283
- Size of remote file:
- 492 MB
- SHA256:
- 2646b5831f770491821c985762609dbaf227df0f7019e63e41dab59a8635f3ed
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