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:
- c5fcf040b2adcb196d26b08d1cef6d2649c911aa54bd82b8c4ca6c416b16d62e
- Size of remote file:
- 3.46 GB
- SHA256:
- a5d97e614aae0fab3c727f75b2fb5008899dcccd32ffe136ad8a9d61d0e7fe8e
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