Instructions to use Hsama/Laila_High_Noise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hsama/Laila_High_Noise 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/Laila_High_Noise") prompt = "A 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 High Noise

- Prompt
- A 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
High Noise Lora for Laila
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/Laila_High_Noise
Base model
Comfy-Org/Wan_2.2_ComfyUI_Repackaged