Instructions to use MarkBW/lyasya-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/lyasya-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarkBW/lyasya-xl") prompt = "lyasya <lora:lyasya-XL:1>,a woman wearing summer dresses, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
lyasya-xl

- Prompt
- lyasya <lora:lyasya-XL:1>,a woman wearing summer dresses,
- Negative Prompt
- Bad quality, black and white, dark, 3d, people
Model description
This lora creates the likeness of Russian Twitch streamer/Instagram model Lyasya. Use your favorite realistic model and keep your lora weighting around 0.8 - 1.0
By:Ggrue
Trigger words
You should use lyasya 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 MarkBW/lyasya-xl
Base model
xinsir/controlnet-union-sdxl-1.0