Instructions to use Mulikhan/Hio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mulikhan/Hio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mulikhan/Hio") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Yui
.webp)
- Prompt
- -
Model description
یه اپلیکیشن بساز که ولت هایی که بیشتر از یک سال است که غیر فعال بودند را پیدا کنم
Trigger words
You should use Ghd to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
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Model tree for Mulikhan/Hio
Base model
Qwen/Qwen-Image-Edit-2511 Finetuned
Phr00t/Qwen-Image-Edit-Rapid-AIO