Instructions to use JosefKuchar/svg-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JosefKuchar/svg-generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("JosefKuchar/svg-generator") 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
Add Z-Image SVG LoRA weights
Browse files
zimage-svg-lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aab83a4986088136baf7acc34b59f133d7afdf3e45c653c4853775a780c5d3e2
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size 85094816
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