Instructions to use cuongdev/tonghop3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop3 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/tonghop3", 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:
- b13ef5b73526e352f0dfb9601f2ae77b6c3a7c5328c9c4213c608a3c92233ebd
- Size of remote file:
- 681 MB
- SHA256:
- f8f28c686f4e804c67dcc8ee01f53c729078f3d053e003780cfca18da167c8c4
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