Instructions to use sanaka87/ICEdit-MoE-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sanaka87/ICEdit-MoE-LoRA 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("sanaka87/ICEdit-MoE-LoRA", 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
Upload att.e9SZ-k7bzuYp8dT0pjsopXphdjrvTkVycS04LkLZO8E.jpeg
#5 opened about 1 year ago
by
whlnkt
is this can work with schnell flux based model ?
1
#4 opened about 1 year ago
by
pikkaa
uma versão ultra-realista e sofisticada digna de um restaurante 5 estrelas.
#3 opened about 1 year ago
by
Carlxs
Fail to load lora weight with pipe.load_lora_weights("./ICEdit-MoE-LoRA/ICEdit-MoE-LoRA.safetensors")
3
#2 opened about 1 year ago
by
idonashino