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
- Draw Things
- DiffusionBee
- Xet hash:
- 7ee60cbf21551035ca4f07e754be65e49dd6ff0cac47cf2895c958a2403a9556
- Size of remote file:
- 681 MB
- SHA256:
- a0749185cfdafcb115ed8321dbb9d7c54d5c16f4ae69b35c60eacbeac31f30da
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