Instructions to use fffiloni/greyscale-tiny-town with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fffiloni/greyscale-tiny-town 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/greyscale-tiny-town") prompt = "A person in a bustling cafe, greyscale drawing" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#5
by fffiloni - opened
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- README.md +3 -0
- images/example_dty4dnqxo.png +3 -0
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README.md
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drawing
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output:
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url: images/example_ol1f5bbio.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: greyscale drawing
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license: other
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drawing
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output:
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url: images/example_ol1f5bbio.png
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- text: picnic at the lake, greyscale drawing
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output:
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url: images/example_dty4dnqxo.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: greyscale drawing
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license: other
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images/example_dty4dnqxo.png
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Git LFS Details
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