Instructions to use xiaolxl/HXHY-OrigamiKontextLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xiaolxl/HXHY-OrigamiKontextLoRA 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("xiaolxl/HXHY-OrigamiKontextLoRA", 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
幻象绘影万物折纸画风-OrigamiKontextLoRA。用于各类图片转换成折纸形态,此模型具有一般的泛化能力,适用于人物/动物等。
触发词:Convert to HXHY_Origami style
权重:建议值1.0。
通用工作流:https://civitai.com/models/1733176/fluxkontextdev-lora-general-workflow
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幻象绘影万物折纸画风-OrigamiKontextLoRA. Used for converting various types of images into origami forms, this model has general generalization capabilities and is suitable for characters/animals, etc.
Trigger word: Convert to HXHY_Origami style
Weight: Recommended value 1.0. General workflow: https://civitai.com/models/1733176/fluxkontextdev-lora-general-workflow
Automatic size general workflow: https://civitai.com/models/1733187/fluxkontextdev-lora-general-workflow-auto-size-fluxkontextdev-lora
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