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- .gitattributes +75 -0
- README.md +299 -0
- image-0.png +3 -0
- image-1.png +3 -0
- image-10.png +3 -0
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- image-5.png +3 -0
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- image-51.png +3 -0
.gitattributes
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@@ -33,3 +33,78 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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1 |
+
---
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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- template:sd-lora
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widget:
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- text: in the style of <s0><s1>
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output:
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url: image-0.png
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- text: in the style of <s0><s1>
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output:
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url: image-1.png
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- text: in the style of <s0><s1>
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output:
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url: image-2.png
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- text: in the style of <s0><s1>
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output:
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url: image-3.png
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- text: in the style of <s0><s1>
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output:
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url: image-4.png
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- text: in the style of <s0><s1>
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output:
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url: image-5.png
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- text: in the style of <s0><s1>
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output:
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url: image-6.png
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- text: in the style of <s0><s1>
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output:
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url: image-7.png
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- text: in the style of <s0><s1>
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output:
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url: image-8.png
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- text: in the style of <s0><s1>
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output:
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url: image-9.png
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- text: in the style of <s0><s1>
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output:
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url: image-10.png
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- text: in the style of <s0><s1>
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output:
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url: image-11.png
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- text: in the style of <s0><s1>
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output:
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url: image-12.png
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- text: in the style of <s0><s1>
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output:
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url: image-13.png
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- text: in the style of <s0><s1>
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output:
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url: image-14.png
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- text: in the style of <s0><s1>
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output:
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url: image-15.png
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- text: in the style of <s0><s1>
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output:
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url: image-16.png
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- text: in the style of <s0><s1>
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output:
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url: image-17.png
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- text: in the style of <s0><s1>
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output:
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url: image-18.png
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- text: in the style of <s0><s1>
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output:
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url: image-19.png
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- text: in the style of <s0><s1>
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output:
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url: image-20.png
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- text: in the style of <s0><s1>
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output:
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url: image-21.png
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- text: in the style of <s0><s1>
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output:
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url: image-22.png
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- text: in the style of <s0><s1>
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output:
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url: image-23.png
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- text: in the style of <s0><s1>
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output:
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url: image-24.png
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- text: in the style of <s0><s1>
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output:
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url: image-25.png
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- text: in the style of <s0><s1>
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output:
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url: image-26.png
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- text: in the style of <s0><s1>
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output:
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url: image-27.png
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- text: in the style of <s0><s1>
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output:
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url: image-28.png
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- text: in the style of <s0><s1>
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output:
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url: image-29.png
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- text: in the style of <s0><s1>
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output:
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url: image-30.png
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- text: in the style of <s0><s1>
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output:
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url: image-31.png
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- text: in the style of <s0><s1>
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output:
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url: image-32.png
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- text: in the style of <s0><s1>
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output:
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url: image-33.png
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- text: in the style of <s0><s1>
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output:
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url: image-34.png
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- text: in the style of <s0><s1>
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output:
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url: image-35.png
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- text: in the style of <s0><s1>
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output:
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url: image-36.png
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- text: in the style of <s0><s1>
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output:
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url: image-37.png
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- text: in the style of <s0><s1>
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output:
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url: image-38.png
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- text: in the style of <s0><s1>
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output:
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url: image-39.png
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- text: in the style of <s0><s1>
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output:
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url: image-40.png
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- text: in the style of <s0><s1>
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output:
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url: image-41.png
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- text: in the style of <s0><s1>
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output:
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url: image-42.png
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- text: in the style of <s0><s1>
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output:
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url: image-43.png
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: in the style of <s0><s1>
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license: openrail++
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---
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# SDXL LoRA DreamBooth - Norod78/sdxl-vintage-face-style-lora
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<Gallery />
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+
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## Model description
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### These are Norod78/sdxl-vintage-face-style-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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+
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## Download model
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+
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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+
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+
- **LoRA**: download **[`sdxl-vintage-face-style-lora.safetensors` here 💾](/Norod78/sdxl-vintage-face-style-lora/blob/main/sdxl-vintage-face-style-lora.safetensors)**.
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+
- Place it on your `models/Lora` folder.
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+
- On AUTOMATIC1111, load the LoRA by adding `<lora:sdxl-vintage-face-style-lora:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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+
- *Embeddings*: download **[`sdxl-vintage-face-style-lora_emb.safetensors` here 💾](/Norod78/sdxl-vintage-face-style-lora/blob/main/sdxl-vintage-face-style-lora_emb.safetensors)**.
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+
- Place it on it on your `embeddings` folder
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+
- Use it by adding `sdxl-vintage-face-style-lora_emb` to your prompt. For example, `in the style of sdxl-vintage-face-style-lora_emb`
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+
(you need both the LoRA and the embeddings as they were trained together for this LoRA)
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+
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+
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+
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+
```py
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+
from diffusers import AutoPipelineForText2Image
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+
import torch
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+
from huggingface_hub import hf_hub_download
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+
from safetensors.torch import load_file
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+
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+
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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+
pipeline.load_lora_weights('Norod78/sdxl-vintage-face-style-lora', weight_name='pytorch_lora_weights.safetensors')
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+
embedding_path = hf_hub_download(repo_id='Norod78/sdxl-vintage-face-style-lora', filename='sdxl-vintage-face-style-lora_emb.safetensors' repo_type="model")
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+
state_dict = load_file(embedding_path)
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+
pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
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+
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+
image = pipeline('in the style of <s0><s1>').images[0]
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+
```
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+
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+
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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+
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+
## Trigger words
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+
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+
To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
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+
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+
to trigger concept `TOK` → use `<s0><s1>` in your prompt
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+
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+
## Details
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+
All [Files & versions](/Norod78/sdxl-vintage-face-style-lora/tree/main).
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+
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+
The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
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LoRA for the text encoder was enabled. False.
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Pivotal tuning was enabled: True.
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+
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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+
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