Instructions to use cuongdev/testssssts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/testssssts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/testssssts", 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:
- a4267d2b1e16418231d9ae6b9f3573e777aec31153cb2763ae57e201f1f7b131
- Size of remote file:
- 2.13 GB
- SHA256:
- 7a3d02dec87e7626fd26a69dcfb982605439dad206a374201e3122e0618d9aa8
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