Instructions to use camenduru/test-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/test-10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/test-10", 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:
- 6248534bd5a8a339f615eb731d46941be713a0ffa0d3c09f1afb581df521dc30
- Size of remote file:
- 335 MB
- SHA256:
- 185b0c03485b4048bb6158de087df301b79ea187844c76ae91cd4cda207282a2
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