Instructions to use fofr/flux-handwriting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fofr/flux-handwriting 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("fofr/flux-handwriting") prompt = "HWRIT scrawling messy handwriting saying \"Hello, this is a handwriting lora\", illegible, red ink on old stained" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Browse filesGenerated example for model fofr/flux-handwriting.
Prompt: HWRIT very neat handwriting saying "Hello, this is a handwriting lora", blue ink on white paper
- README.md +5 -0
- images/example_m6vc7zep2.png +0 -0
README.md
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lora", illegible, red ink on old stained
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output:
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url: images/example_s8o4qten4.png
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---
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lora", illegible, red ink on old stained
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output:
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url: images/example_s8o4qten4.png
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- text: >-
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HWRIT very neat handwriting saying "Hello, this is a handwriting lora", blue
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ink on white paper
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output:
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url: images/example_m6vc7zep2.png
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---
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images/example_m6vc7zep2.png
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