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:
- 89539f0a1cc407ec0a59a9eb859dc9fc55510906132edb4b9ca28f4950a440c3
- Size of remote file:
- 3.44 GB
- SHA256:
- b9d0604b49dd36d35647ad8e3614911253cbeb7447a27f56eed26269cf0bbf5f
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