Instructions to use pixologyds/xnayan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pixologyds/xnayan 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("pixologyds/xnayan") prompt = "wide and low angle, cinematic, fashion photography. xnayan sitting on floor wearing a full size white t-shirt with a chain and a pendent, bold letters \"9thara\" logo text, red jeans, blue high heels, golden anklets and a gracious look on her face. The background is a color gradient, studio setting, focus on subject, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Nayanthara

- Prompt
- wide and low angle, cinematic, fashion photography. xnayan sitting on floor wearing a full size white t-shirt with a chain and a pendent, bold letters "9thara" logo text, red jeans, blue high heels, golden anklets and a gracious look on her face. The background is a color gradient, studio setting, focus on subject,
Trigger words
You should use xnayan 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 pixologyds/xnayan
Base model
black-forest-labs/FLUX.1-dev