Instructions to use rvorias/vectorlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rvorias/vectorlines with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rvorias/vectorlines") prompt = "man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add vectorlines.safetensors
Browse files- vectorlines.safetensors +3 -0
vectorlines.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc0f14e71934f0d84059430e7a772f2698caca178ea65ed8af44045e77960211
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size 590154464
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