Instructions to use Muapi/vector-illustration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/vector-illustration with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/vector-illustration") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0b4fcf7b2e67c1e7363b47f20a1e71c9694ac40b92defa79ed1f31b2c57154b4
- Size of remote file:
- 228 MB
- SHA256:
- b0024ab16d212bb1f08ccbc3b25cbe781e3aef8b00f91526778ca1b1a2c61480
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