Instructions to use cuongdev/tonghop-v2-2500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v2-2500 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-v2-2500", 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:
- dd4add3da5e0d257d1e2a8734b94b3c37097c214c3df3da1a2fe7833b377aa10
- Size of remote file:
- 2.61 GB
- SHA256:
- 6983d19ab17ccb358dd5c4c08b632b1a36870fc4e1d408f4ab854f4e6dfd21e0
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