Instructions to use furaidosu/flux-lora-simple-vector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use furaidosu/flux-lora-simple-vector with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("furaidosu/flux-lora-simple-vector") prompt = "v3ct0r style, simple flat vector art, isolated on white bg, cat" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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- images/example_tceiuip27.png +0 -0
README.md
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- text: v3ct0r style, simple flat vector art, isolated on white bg, cat
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output:
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url: images/example_ogcdpk4vm.png
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base_model:
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- black-forest-labs/FLUX.1-schnell
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instance_prompt: v3ct0r, vector
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- text: v3ct0r style, simple flat vector art, isolated on white bg, cat
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output:
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url: images/example_ogcdpk4vm.png
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- text: >-
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v3ct0r style, simple flat vector art, isolated on white bg, black frame
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eyeglasses
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output:
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url: images/example_tceiuip27.png
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base_model:
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- black-forest-labs/FLUX.1-schnell
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instance_prompt: v3ct0r, vector
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images/example_tceiuip27.png
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