Text-to-Image
Diffusers
flux
flux-diffusers
simpletuner
safe-for-work
lora
template:sd-lora
standard
Instructions to use davidrd123/Ben-Brand-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use davidrd123/Ben-Brand-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("davidrd123/Ben-Brand-LoRA") prompt = "In the style of a b3nbr4nd painting, Massive green serpent, coiled around a cracked stone obelisk, golden eyes glowing, dark blue scales with iridescent shimmer, open mouth revealing sharp fangs, pink sky fading into deep purple, sand dunes stretching into the horizon, ancient ruins partially buried, red banners flapping in the wind." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#49
by davidrd123 - opened
- README.md +7 -0
- images/example_xm1y3tb6v.png +0 -0
README.md
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scales swimming in slow, deliberate circles.
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output:
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url: images/example_aych9v4t1.png
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---
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scales swimming in slow, deliberate circles.
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output:
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url: images/example_aych9v4t1.png
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- text: >-
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In the style of a b3nbr4nd painting, A spiraling staircase covered in deep
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red velvet, disappearing into a hazy golden glow, framed by walls of dark
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mahogany, intricate carvings of animals moving subtly when not directly
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observed.
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output:
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url: images/example_xm1y3tb6v.png
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---
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images/example_xm1y3tb6v.png
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