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:
- 9c0f1a75ecdcb4a026183fb7f3f488f7d9ec90d4a338808bf236f25bd2a40db1
- Size of remote file:
- 3.46 GB
- SHA256:
- b7d75f70a7a0c981554816038338ab7e9537589f5b269e0a76bff7abd53029f6
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