Instructions to use evrenoskk/selin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use evrenoskk/selin 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("evrenoskk/selin") prompt = "s3linteknosa 3d model of a girl with red hair, at the park, autumn season, holding a blank orange sign, wearing colorful sweater and a leather jacket, serene and beautiful park in the background, gorgeous scenery, full body completely visible <lora:teknosaselinlora2:1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Selinlora

- Prompt
- s3linteknosa 3d model of a girl with red hair, at the park, autumn season, holding a blank orange sign, wearing colorful sweater and a leather jacket, serene and beautiful park in the background, gorgeous scenery, full body completely visible <lora:teknosaselinlora2:1>
Trigger words
You should use s3linteknosa 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 evrenoskk/selin
Base model
black-forest-labs/FLUX.1-dev