Instructions to use strangerzonehf/Flux-FlatLay-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use strangerzonehf/Flux-FlatLay-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("strangerzonehf/Flux-FlatLay-LoRA") prompt = "flat lay, a medium-sized young man, dressed in a black t-shirt with a yellow collar and a yellow baseball cap on his head. The mans face is angled slightly to the left, with a serious expression on his face. His hair is styled in a wavy bob, adding a pop of color to the scene. The background is a vibrant shade of blue, creating a striking contrast to the mans shirt. The word \"ADER\" is prominently displayed on the front of the shirt, with the word \"error\" written in a bold, red font." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Labeling: florence2-en(natural language & English)
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Total Images Used for Training : 60 [ 14 bit raw ]
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## Best Dimensions & Inference
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Labeling: florence2-en(natural language & English)
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Total Images Used for Training : 60 [ 14 bit raw Camera Uncompressed Format {CUF} ]
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## Best Dimensions & Inference
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