Instructions to use cuongdev/tonghop-v2-4500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v2-4500 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-v2-4500", 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:
- d7856b7edaba0430887f1d0779067fe4b25b78080ac7881ee68f2510114aed3e
- Size of remote file:
- 681 MB
- SHA256:
- 7142a607a7e8063dcc8667116d73ca7cadbba1f58f26a76d839a72f30bb61195
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