Instructions to use random1222random/Mel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use random1222random/Mel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Instara/instareal-wan-2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("random1222random/Mel") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Mel

- Prompt
- -
Model description
Mel
Trigger words
You should use Mel to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for random1222random/Mel
Base model
Wan-AI/Wan2.2-I2V-A14B Quantized
Wan-AI/Wan2.2-Animate-14B Finetuned
Comfy-Org/Wan_2.2_ComfyUI_Repackaged Adapter
Instara/instareal-wan-2.2