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
- Xet hash:
- bba1f6e96df2e7bed111912c29d4de2533479fc01b64d88d116d2a952f5d85bd
- Size of remote file:
- 954 MB
- SHA256:
- 25b2037080aa2116bd2a138171a6f9317d8a5ed343c4e015ad45b66658f0b926
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