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
- Draw Things
- DiffusionBee
- Xet hash:
- c6494128939cde8265fcd69234b23029243509a0e4ea49c9c70ce511e41bf411
- Size of remote file:
- 3.44 GB
- SHA256:
- 0e3bcefa09442056f08552ff710d9c1e8742ee75a73921ee904fbfa1357a91a2
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