Instructions to use cuongdev/hntanh2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/hntanh2 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/hntanh2", 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:
- 0f268253237128d8d72ac8b29bc6bb416c4ff469d1f08067cbc9e59d04ed47f8
- Size of remote file:
- 681 MB
- SHA256:
- d6396423bfe17df3f845d26463cbfface2336b432f447fe5bac6cffd7b361216
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