Instructions to use watsydney/CTMtutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use watsydney/CTMtutorial with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("watsydney/CTMtutorial", 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:
- 9b2c4c0f3c7b9aa0875dd0144c664348eb922fa0154db019ab896f68a08f3a78
- Size of remote file:
- 204 MB
- SHA256:
- cac85dc37bcbaba9fb203c2d69f8071c3f869f0513972ee6893791bfcf59e573
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