Instructions to use cuongdev/tonghop-v2-3500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v2-3500 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-v2-3500", 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:
- eac06b8dfe6349b2093520798958e01bf2a03223fa2256f1eb03cdf35df3e810
- Size of remote file:
- 681 MB
- SHA256:
- d393f9777d696f8b1fc37cb961c7fcdf5174c473e247d0a10d9d23ed5b20a0d7
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