Instructions to use coder119/Vectorartz_Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use coder119/Vectorartz_Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("coder119/Vectorartz_Diffusion", 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:
- 74ae7603a832dd34d73085210055c6a8d039b172c424fb4b86bc82f04609fa8b
- Size of remote file:
- 2.13 GB
- SHA256:
- a7518b8db1117eafdc5330478a2417849e32a8628c092980f23b5bb8c29bcc96
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