Instructions to use dragiychev/Lateral-Spark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dragiychev/Lateral-Spark 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("dragiychev/Lateral-Spark") prompt = "a person on a crossroads, symbolizing chaos and healing journey, lateralspark style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by dragiychev - opened
- README.md +7 -0
- images/example_kxhrei2h6.png +0 -0
README.md
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- text: lateralspark style close up portrait face artwork
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output:
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url: images/example_x3d9p75fo.png
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---
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# lateralspark
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- text: lateralspark style close up portrait face artwork
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output:
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url: images/example_x3d9p75fo.png
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- text: >-
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A glowing close up portrait face surrounded by cascading geometric fragments
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and interwoven arcs symbolizes the unfolding of philosophical thought, where
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rigid constructs dissolve into fluid patterns of inquiry, with vibrant
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gradients reflecting the transition from dogma to enlightened understanding.
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output:
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url: images/example_kxhrei2h6.png
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---
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# lateralspark
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images/example_kxhrei2h6.png
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