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", torch_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:
- 8bc9d70d61c483f48ae206b9bf86c6679093648262880ff6c805a57ca8fd3653
- Size of remote file:
- 681 MB
- SHA256:
- 3938b3225d9eafe6f4b6fa292ba712138193f2927e365f69d80ccaae29664fec
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