Instructions to use Muapi/vectorz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/vectorz with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/vectorz") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vectorz.safetensors from Muapi/vectorz: direct link, hf CLI and curl.
- Browser
- Download file 159 MB
-
https://huggingface.co/Muapi/vectorz/resolve/main/vectorz.safetensors
- Command line
-
hf download hf://Muapi/vectorz/vectorz.safetensors
-
curl -L -o vectorz.safetensors https://huggingface.co/Muapi/vectorz/resolve/main/vectorz.safetensors
159 MB
- Xet hash:
- 69905730eb49eaecd088315231fb57ac1eafd7abdc4cef4137b828ab1237f06c
- Size of remote file:
- 159 MB
- SHA256:
- df757757bfdde143e459c8f6a5a43126abfe97b19b758cfc61d72414422efe94
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