Instructions to use proxima/darkvictorian_artstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use proxima/darkvictorian_artstyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("proxima/darkvictorian_artstyle", 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:
- 692a8eed739ceec6a5e24d90bdad4045213888d1fcd82f107df347df7433787a
- Size of remote file:
- 492 MB
- SHA256:
- 17b5060a3f08e5fb872095d589b3c495f33832349833fdd849c47e78fdddf3b0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.