Instructions to use leonel4rd/Vectorflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Vectorflux 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("leonel4rd/Vectorflux") prompt = "breathtaking vector cartoon illustration of Close up macro photography, a miniature fairy house inside a drop of water, light reflections, ultra sharp <lora:Vector cartoon illustration-000008:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 741 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: >-
breathtaking vector cartoon illustration of Close up macro photography, a
miniature fairy house inside a drop of water, light reflections, ultra sharp
<lora:Vector cartoon illustration-000008:1>
output:
url: images/01186-2933260766.png
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: Vector Cartoon Illustration
---
# Vectorflux
<Gallery />
## Trigger words
You should use `Vector Cartoon Illustration` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leonel4rd/Vectorflux/tree/main) them in the Files & versions tab.
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