Instructions to use fofr/flux-cross-section with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fofr/flux-cross-section 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-cross-section") prompt = "a XSEC exploded illustration of an SLR camera" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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- text: a XSEC exploded illustration of an SLR camera
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output:
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url: images/example_4wxycxyo8.png
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- text: a XSEC exploded illustration of an SLR camera
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output:
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url: images/example_4wxycxyo8.png
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- text: a XSEC exploded illustration of a cyberpunk sports car
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url: images/example_4om0p4gul.png
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images/example_4om0p4gul.png
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