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:
- 080b5caca8af7df9bef95eb76b0774fbb7b85d5de62abdceb4f2c16737d29624
- Size of remote file:
- 85.1 MB
- SHA256:
- aab83a4986088136baf7acc34b59f133d7afdf3e45c653c4853775a780c5d3e2
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