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
| 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. | |