Instructions to use eissahussein123/aii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eissahussein123/aii with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("eissahussein123/aii", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| license: cc-by-nc-sa-4.0 | |
| language: | |
| - en | |
| - ar | |
| metrics: | |
| - accuracy | |
| - character | |
| - charcut_mt | |
| base_model: | |
| - tencent/HunyuanImage-3.0 | |
| pipeline_tag: image-to-image | |
| library_name: diffusers | |