Instructions to use cuongdev/tonghop-2000-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-2000-v2 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-2000-v2", 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:
- ad73d608f9bd07713056d9d64c8889c0ed8d738a8931b812d00a2be5164250fd
- Size of remote file:
- 2.61 GB
- SHA256:
- 84f7e10066447f4019d0327713deac17782f22c3fe93643b6eaa695cb894beb4
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