Instructions to use KamCastle/cineroSD15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/cineroSD15 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/cineroSD15", 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:
- 41af2ebd09bbc79533cfd1e8879e05b425ade3522c19f9dac84f487312bef3d9
- Size of remote file:
- 492 MB
- SHA256:
- 8f35ee49b2a0fbfaa4a800da45b5a93ea74430cadcb490778d4f236420e8c0a2
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