Instructions to use cuongdev/vtthuc-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/vtthuc-v3 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/vtthuc-v3", 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:
- 2788c22213ae76f6547ec7595fc359ff58bc468a2f2cffb2b9184dd08cee20dc
- Size of remote file:
- 3.46 GB
- SHA256:
- 49568ea306d0897f6dca42017ef65d936cc001ba4c23173620657d507046535b
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