Instructions to use cuongdev/tonghop5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop5 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/tonghop5", 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:
- a7f50599422eba0a8b65de2509ec1f2b1d8c072fd9087ecd13dd047b67f2b543
- Size of remote file:
- 3.46 GB
- SHA256:
- 8885a1a3b27730de9a9238e1bc414c97e08ccab4cf9b0c4e8ab5338dbb7543c1
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