Instructions to use cuongdev/tonghop2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop2 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/tonghop2", 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:
- 4a20bd44b6d43415712e95d61c77c0b78e1ce752699fbf8bd152f9a2c26b7dd1
- Size of remote file:
- 681 MB
- SHA256:
- 3bbd442ba52d5ce0b01d43e6fdca923be6119f7edb9098dd90873baea77b0290
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