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
Upload flow-matching/model.safetensors
Browse files
flow-matching/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:25b2037080aa2116bd2a138171a6f9317d8a5ed343c4e015ad45b66658f0b926
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size 953980780
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