Instructions to use cuongdev/test-hntanh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-hntanh 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/test-hntanh", 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:
- eca89de400594f833cbcb3a506fc5f2bd9f461aa43550ce8beef27de02c3bfa3
- Size of remote file:
- 3.46 GB
- SHA256:
- 25180d38046634c82ba2a67d1e6dafd2b60e60dac6d5eb81a4e7d7823030241f
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