Instructions to use kteedle/vec2dills with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kteedle/vec2dills 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("kteedle/vec2dills") prompt = "flat 2d vector illustration" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from kteedle/vec2dills: direct link, hf CLI and curl.
- Browser
- Download file 244 Bytes
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https://huggingface.co/kteedle/vec2dills/resolve/main/README.md
- Command line
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hf download hf://kteedle/vec2dills/README.md
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curl -L -o README.md https://huggingface.co/kteedle/vec2dills/resolve/main/README.md
244 Bytes
metadata
license: apache-2.0
library_name: diffusers
pipeline_tag: text-to-image
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- sdxl
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: flat 2d vector illustration