Instructions to use den123/StyleS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use den123/StyleS 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("den123/StyleS") prompt = "cute illustration of cat , sitting on chair in kitchen, sharpen edge, illustration" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
Browse filesGenerated example for model den123/StyleS.
Prompt: cute illustration of cat , sitting on chair in kitchen, sharpen edge, illustration
- README.md +5 -0
- images/example_hs7x1zzao.png +3 -0
README.md
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illustration
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output:
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url: images/example_mpux80uk4.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: StyleS
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license: apache-2.0
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illustration
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output:
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url: images/example_mpux80uk4.png
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- text: >-
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cute illustration of cat , sitting on chair in kitchen, sharpen edge,
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illustration
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output:
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url: images/example_hs7x1zzao.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: StyleS
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license: apache-2.0
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images/example_hs7x1zzao.png
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Git LFS Details
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