Instructions to use cuongdev/test-2-nguoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-2-nguoi 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/test-2-nguoi", 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:
- 9e515ec1cc6b3c7f5315d73bf84a77fb0e765b296fbb9ddd1441ca0c3d0151f0
- Size of remote file:
- 3.46 GB
- SHA256:
- 9b2cfcc51542e0a62da29177343aa3b222b67bcfd42bc8f6557ef31bfac1fc25
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