Instructions to use pixologyds/xshriya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pixologyds/xshriya 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pixologyds/xshriya") prompt = "wide and low angle, cinematic, fashion photography. xshriya sitting on floor wearing a full size white t-shirt with big letters \\\"SHRiYA\\\" logo text, blue jeans, high heels and a gracious look on her face. The background is a color gradient, studio setting" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Shriya Saran

- Prompt
- wide and low angle, cinematic, fashion photography. xshriya sitting on floor wearing a full size white t-shirt with big letters \"SHRiYA\" logo text, blue jeans, high heels and a gracious look on her face. The background is a color gradient, studio setting
Trigger words
You should use xshriya to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 8
Model tree for pixologyds/xshriya
Base model
black-forest-labs/FLUX.1-dev