Instructions to use kattykontent/Mila_LOra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kattykontent/Mila_LOra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kattykontent/Mila_LOra") prompt = "Photorealistic studio portrait of a young woman with light skin and natural freckles, oval face, green-grey eyes, thick dark eyebrows, smooth skin texture. Dark brown slicked-back hair, slightly wet look. Soft friendly smile, minimal makeup, natural lips. Wearing a beige linen spaghetti strap top. Clean minimal aesthetic. Soft diffused studio lighting, white-grey background. High detail skin texture, natural imperfections, realistic photography, 85mm lens, shallow depth of field, professional portrait, ultra high resolution." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Mila_WAN2.2_LoRA

- Prompt
- Photorealistic studio portrait of a young woman with light skin and natural freckles, oval face, green-grey eyes, thick dark eyebrows, smooth skin texture. Dark brown slicked-back hair, slightly wet look. Soft friendly smile, minimal makeup, natural lips. Wearing a beige linen spaghetti strap top. Clean minimal aesthetic. Soft diffused studio lighting, white-grey background. High detail skin texture, natural imperfections, realistic photography, 85mm lens, shallow depth of field, professional portrait, ultra high resolution.
- Negative Prompt
- overprocessed skin, heavy makeup, plastic skin, blur, low quality, cartoon, anime, harsh shadows
Model description
LoRA trained on WAN 2.2 using WaveSpeed.
Includes two versions:
- High noise LoRA
- Low noise LoRA
Trigger words
You should use Mila to trigger the image generation.
Download model
Download them in the Files & versions tab.
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