Upload the converted model LatentLabs-360 embeds

README.md

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 ---
-license: openrail
-pipeline_tag: text-to-image
-tags:
-- lora
-- safetensors
+license: mit
 ---
-Model shared on [CivitAI LatentLabs](https://civitai.com/models/10753/latentlabs360)
+### LatentLabs-360 model on Stable Diffusion using [Stable Diffusion Deluxe](https://colab.research.google.com/github/Skquark/AI-Friends/blob/main/Stable_Diffusion_Deluxe.ipynb)
+#### model by AlanB
 
-Latent Labs 360 LoRA is powerful for crafting dynamic 360-degree images that are both immersive and interactive. The LoRA has been trained on over 100 CC0 Panorama images to ensure that it provides a top-quality user experience.
+Converted from https://civitai.com/models/10753/latentlabs360
 
-The Latent Labs 360 LoRA makes it easy to produce breathtaking panoramic images that enable you to explore every aspect of the environment. For optimal image quality, it's recommended that you install the following Auto1111 extensions: asymmetric tiling and sd-webui-additional-networks. You should create your images using a 2:1 aspect ratio, such as 1024 x 512, and activate the asymmetric tiling on the X axis.
 
-The images showcased below were generated with DreamShaper 3.31 and a LoRA weight of 1.0.
+You can also train your own models and upload them to the library by using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_training.ipynb).
+And you can run your new concept via `diffusers`: [Colab Notebook for Inference](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_dreambooth_inference.ipynb), [Spaces with the Public Concepts loaded](https://huggingface.co/spaces/sd-dreambooth-library/stable-diffusion-dreambooth-concepts)
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