Instructions to use StableDiffusionVN/SDVN8-ArtXL-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use StableDiffusionVN/SDVN8-ArtXL-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("StableDiffusionVN/SDVN8-ArtXL-Diffusers", 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:
- e866cfb309131069a0071f87e3b77d0ae2eb58c14b62d3ca597470c41d897e0c
- Size of remote file:
- 492 MB
- SHA256:
- 105a72ceb6deecef54318a1129e77cd7dff6f2651dedc91b95ac58666732b1ed
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