Text-to-Image
Diffusers
English
Chinese
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use VuDucQuang/Asian_Style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VuDucQuang/Asian_Style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VuDucQuang/Asian_Style", 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:
- fbfec7af1fb23284f27675607ac2ca03585611982eb46b4435236f1112e9368c
- Size of remote file:
- 3.04 MB
- SHA256:
- febcefda7317c91c95d763ded0851699da3b48f24560ff0d3a2b391d4e9da3e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.