Instructions to use cuongdev/vsvsbsf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/vsvsbsf 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/vsvsbsf", 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:
- f8cf5de2f0c1f0b2002379a0f55a539c6af355440ab1da88eba59f0531b03ce5
- Size of remote file:
- 2.61 GB
- SHA256:
- b1c97c8b4dbcbfb4df249b3779a753833a87207d5490ec9b0f8d0bc23caff93f
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