Instructions to use CrimsonZockt/LexyChaplin-FLUXLORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CrimsonZockt/LexyChaplin-FLUXLORA 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("CrimsonZockt/LexyChaplin-FLUXLORA") prompt = "Lexy Chaplin, black tanktop, professional headshot, photoshoot." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
LexyChaplin

- Prompt
- Lexy Chaplin, black tanktop, professional headshot, photoshoot.
Model description
This is a LORA Model that i have train on Weights.gg
Trigger words
You should use Lexy Chaplin to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for CrimsonZockt/LexyChaplin-FLUXLORA
Base model
black-forest-labs/FLUX.1-dev