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
Download text_encoder/model.safetensors from coder119/Vectorartz_Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/coder119/Vectorartz_Diffusion/resolve/refs%2Fpr%2F10/text_encoder/model.safetensors
- Command line
-
hf download hf://coder119/Vectorartz_Diffusion@refs/pr/10/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/coder119/Vectorartz_Diffusion/resolve/refs%2Fpr%2F10/text_encoder/model.safetensors
492 MB
- Xet hash:
- 6440b92529f1542efe0037f0a373561d226c06fe673035a85f6f9f6ba8112cce
- Size of remote file:
- 492 MB
- SHA256:
- a3e82a5173e9825e4b607a502b7272b83dddee88d27d13742681848272405583
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