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README.md
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---
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## Model description
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#
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**
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---
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pip install diffusers transformers accelerate safetensor torch
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```
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2. **Load base
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```python
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from diffusers import DiffusionPipeline
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import torch
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pipe = DiffusionPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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torch_dtype=torch.float16,
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).to("cuda")
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pipe.load_lora_weights("SkyAsl/sdxl-face-lora")
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pipe.fuse_lora()
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image = pipe("a high-quality portrait of a woman").images[0]
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image.save("test.png")
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```
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---
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## Model description
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# Portrait-generator
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**Portrait-generator** is a LoRA fine-tuned adapter for the [stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0) model, trained on the [Rapidata/Face_Generation_Benchmark dataset](https://huggingface.co/datasets/Rapidata/Face_Generation_Benchmark). It specializes in generating face images.
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---
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pip install diffusers transformers accelerate safetensor torch
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```
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2. **Load stable-diffusion-xl-base-1.0 and LoRA adapter**:
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```python
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from diffusers import DiffusionPipeline
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import torch
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pipe = DiffusionPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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torch_dtype=torch.float16,
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).to("cuda")
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pipe.load_lora_weights("SkyAsl/sdxl-face-lora")
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pipe.fuse_lora()
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+
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image = pipe("a high-quality portrait of a woman").images[0]
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image.save("test.png")
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```
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