Text-to-Image
Diffusers
Safetensors
English
Chinese
Text-to-Image
SDXL
Stable Diffusion
ID Customization
Instructions to use alimama-creative/SDXL-EcomID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/SDXL-EcomID with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/SDXL-EcomID", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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[中文版Readme](./README_ZH.md)
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EcomID aims to generate customized images from a single reference ID image, ensuring strong semantic consistency while being controlled by keypoints.
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This repository provides the EcomID method and model, combining the strengths of [PuLID](https://github.com/ToTheBeginning/PuLID) and [InstantID](https://github.com/instantX-research/InstantID) for better background consistency, facial keypoint control, and realistic facial representation with improved similarity.
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[中文版Readme](./README_ZH.md)
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This is a plugin/extension model for SDXL, not a fine-tuned version of stabilityai/stable-diffusion-xl-base-1.0.
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EcomID aims to generate customized images from a single reference ID image, ensuring strong semantic consistency while being controlled by keypoints.
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This repository provides the EcomID method and model, combining the strengths of [PuLID](https://github.com/ToTheBeginning/PuLID) and [InstantID](https://github.com/instantX-research/InstantID) for better background consistency, facial keypoint control, and realistic facial representation with improved similarity.
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