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:
- 37d6dd7db23a46f4000513ad0bba97403314eea2f823a339dbb504c5df91ee24
- Size of remote file:
- 335 MB
- SHA256:
- b2ce90da09a8dc55f07aeb6f8a2c8e550bb53f16800d70ab5307a1fac6fbca63
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