Image-to-Image
Diffusers
Safetensors
art
T2IAdapter
stable-diffusion-xl-diffusers
stable-diffusion-xl
Instructions to use mbrhan/sk-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mbrhan/sk-adapter 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("mbrhan/sk-adapter", 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
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"_class_name": "
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"_diffusers_version": "0.21.0.dev0",
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"_name_or_path": "mbrhan/sk-adapter-v",
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"adapter_type": "full_adapter_xl",
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{
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"_class_name": "T2IAdapter",
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"_diffusers_version": "0.21.0.dev0",
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"_name_or_path": "mbrhan/sk-adapter-v",
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"adapter_type": "full_adapter_xl",
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