Instructions to use pixologyds/xsilku with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pixologyds/xsilku 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/xsilku") prompt = "wide and low angle, cinematic, fashion photography. xsilku sitting on floor wearing a full size white t-shirt with a small chain , big letters \"Silk Smitha\" text in two lines, black jeans, white high heels, golden crown, 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
Silk Smitha

- Prompt
- wide and low angle, cinematic, fashion photography. xsilku sitting on floor wearing a full size white t-shirt with a small chain , big letters "Silk Smitha" text in two lines, black jeans, white high heels, golden crown, and a gracious look on her face. The background is a color gradient, studio setting, focus on subject,
Trigger words
You should use xsilku 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/xsilku
Base model
black-forest-labs/FLUX.1-dev