Instructions to use cuongdev/newtest2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/newtest2 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/newtest2", 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:
- ccf3c4d29a275423bc21a930c39e8b802607b52f49f5702260088addaa822c1c
- Size of remote file:
- 3.46 GB
- SHA256:
- 2903ab9104baa04dc8c5d4a10ae04f16ea5e0d2bb99fe40516d901cc12b717a3
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