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Super-shuhe
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InstantID-FaceID-70K

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How to use from the
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Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Super-shuhe/InstantID-FaceID-70K", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

This repository contains the InstantID-FaceID-6M model, a FaceID customization model trained on the FaceID-6M dataset, as described in the paper FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset.

This model allows for customized face generation based on textual descriptions.

Code: https://github.com/ShuheSH/FaceID-6M

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