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:
- 80790ccc30c07c39ac66fa8d24625c169c1c69f6b7ce0c67ac304a300125621e
- Size of remote file:
- 335 MB
- SHA256:
- 67fe28b8558d79b4cb48f32302acd11a155437fa96febea26b0bbb110ddec3d4
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