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:
- 45b39d63d58df0013a3052932e5354b8cc65960961b9cab2f5b703feedb9d322
- Size of remote file:
- 2.61 GB
- SHA256:
- 4b48e718b2ec85fa24f131a6075fe4f418371a144ce0b751b6df07bebcf5cf96
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