Instructions to use diabolic6045/Flux_Sticker_Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diabolic6045/Flux_Sticker_Lora 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("diabolic6045/Flux_Sticker_Lora") prompt = "Python language logo 5t1cker 5ty1e" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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by diabolic6045 - opened
- README.md +3 -0
- images/example_y4ekkqzyi.png +0 -0
README.md
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- text: Python language logo 5t1cker 5ty1e
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output:
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url: images/example_s3pxsewcb.png
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---
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# flux_Sticker
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- text: Python language logo 5t1cker 5ty1e
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output:
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url: images/example_s3pxsewcb.png
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- text: C++ language logo 5t1cker 5ty1e
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output:
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url: images/example_y4ekkqzyi.png
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---
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# flux_Sticker
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images/example_y4ekkqzyi.png
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