Instructions to use cuongdev/tonghop-v2-8000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v2-8000 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-v2-8000", 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:
- 044b38f3f6b83c05be69bb098e66c562a0f77583a49f7a8b2c70f773cfde83b6
- Size of remote file:
- 681 MB
- SHA256:
- 4fbc5c388df7589bb1c48d004e4e030f4595f7f4b6e9810072a275e239d67a73
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