Instructions to use Hsama/Low_Noise_Laila with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hsama/Low_Noise_Laila with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Comfy-Org/Wan_2.2_ComfyUI_Repackaged", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Hsama/Low_Noise_Laila") prompt = " cinematic video of Laila smiling and turning her head slightly, beautiful soft lighting, best quality, 4k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Laila Low Noise

- Prompt
- cinematic video of Laila smiling and turning her head slightly, beautiful soft lighting, best quality, 4k
- Negative Prompt
- blurry, low quality, deformed, malformed, poorly drawn, extra limbs, extra fingers, long neck, watermark, text, jpeg artifacts
Model description
Laila Low Noise-Wan 2.2
Trigger words
You should use Laila to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Hsama/Low_Noise_Laila
Base model
Comfy-Org/Wan_2.2_ComfyUI_Repackaged