Instructions to use fffiloni/sweet-brush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fffiloni/sweet-brush 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fffiloni/sweet-brush") prompt = "a coi fish. in the style of TOK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Browse filesGenerated example for model fffiloni/sweet-brush.
Prompt: old fierce pirate holding a shovel digging to find a treasure. in the style of TOK
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- images/example_afdbsemxc.png +0 -0
README.md
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- text: a bartender shaking a cocktail. in the style of TOK
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output:
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url: images/example_s2xhwvsmw.png
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---
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- text: a bartender shaking a cocktail. in the style of TOK
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output:
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url: images/example_s2xhwvsmw.png
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- text: >-
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old fierce pirate holding a shovel digging to find a treasure. in the style
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of TOK
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output:
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url: images/example_afdbsemxc.png
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images/example_afdbsemxc.png
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