Instructions to use cuongdev/tonghop-v5-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v5-1 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/tonghop-v5-1", 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:
- 8ab41293fe454664b0e03c37cd40154f9f85fc6059045ec9a97f419b7da4d5eb
- Size of remote file:
- 681 MB
- SHA256:
- 195afed6a4e6703b3cbf36c8142dbe9ac0857a087a341c64fdefd7b9a74a7417
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