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:
- 9df8668b7237aea0714c2d9121b715ee89be2dc0de22eb5e49d52189a1f0b289
- Size of remote file:
- 681 MB
- SHA256:
- bc975b25a366708747dc04b186ca7d13891b954223ae381a3ba9c802cc56ede7
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