Instructions to use NightRaven109/CCSRModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NightRaven109/CCSRModels with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NightRaven109/CCSRModels", 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
- Xet hash:
- 391b848b6f7573c04d49280e8f688196f775266eb9f5c5923a79ddfe663fc189
- Size of remote file:
- 1.45 GB
- SHA256:
- 953078992787c9d1b1bc2b20fbf8eb9eb611dc5afe5d7d0c0fe8f8418284a99a
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