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:
- ea16b085e013d37b2fa3c653bc9c025a69debe5eec11509b03d41c8bafc501bf
- Size of remote file:
- 3.46 GB
- SHA256:
- ea28e948a014b98f0cc877b9730a810223120bed574d4504764f7a8c405c5324
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