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---
license: creativeml-openrail-m
tags:
- stable-diffusion
- text-to-image
- embedding
---
**Double Exposure Embedding for Stable Diffusion 2.x**
This is the <i>Double Exposure Embedding</i>, trained on 768px images of people layered with a variety of surroundings. It's been shown to handle objects good as well.
The embedding file (dblx.pt) can be downloaded [*here*](https://huggingface.co/joachimsallstrom/Double-Exposure-Embedding/resolve/main/dblx.pt). Place the file in the embeddings folder of your Automatic1111 installation. You trigger the double exposure effect using **dblx**.
**Example:**
#### Example prompts and settings
<i>Scarlett Johansson (image 1):</i><br>
**dublex Scarlett Johansson, (haunted house), black background**<br>
_Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 3059560186, Size: 512x512_
<i>Frozen Elsa (image 3):</i><br>
**dublex style Elsa, ice castle**<br>
_Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 2867934627, Size: 512x512_
<i>Wolf (image 4):</i><br>
**dublex style wolf closeup, moon**<br>
_Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 312924946, Size: 512x512_
<br>
<p>
This embedding was trained locally with Automatic1111's webui.
</p>
The previous version 1 of Double Exposure Diffusion is also available in the **Files** section.
## License
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
The CreativeML OpenRAIL License specifies:
1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content
2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license) |