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 Settings
- Draw Things
- DiffusionBee
Add generated example
#3
by fffiloni - opened
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- README.md +3 -0
- images/example_jpeyydra2.png +3 -0
.gitattributes
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@@ -38,3 +38,4 @@ samples/1740420407012__000000800_1.jpg filter=lfs diff=lfs merge=lfs -text
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samples/1740420436065__000000800_2.jpg filter=lfs diff=lfs merge=lfs -text
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images/example_b05hrcgw5.png filter=lfs diff=lfs merge=lfs -text
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images/example_ie0g9ftvs.png filter=lfs diff=lfs merge=lfs -text
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samples/1740420436065__000000800_2.jpg filter=lfs diff=lfs merge=lfs -text
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images/example_b05hrcgw5.png filter=lfs diff=lfs merge=lfs -text
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images/example_ie0g9ftvs.png filter=lfs diff=lfs merge=lfs -text
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images/example_jpeyydra2.png filter=lfs diff=lfs merge=lfs -text
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README.md
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- text: a small airport, greyscale drawing
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output:
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url: images/example_ie0g9ftvs.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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- text: a small airport, greyscale drawing
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output:
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url: images/example_ie0g9ftvs.png
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- text: happy people playing petanque in front of the church, greyscale drawing
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output:
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url: images/example_jpeyydra2.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_jpeyydra2.png
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Git LFS Details
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