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--- |
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license: other |
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tags: |
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- stable-diffusion |
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- text-to-image |
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inference: false |
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--- |
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# Untitled Model Card |
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Japanese version is [here](README_jp.md). |
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# Introduction |
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Untitled is the latent diffusion model made for AI art. |
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# Usage |
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I recommend to use the model by Web UI. |
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You can download the model [here](untitled.safetensor). |
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Then, install [Web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) by AUTIMATIC1111. |
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# Examples |
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## Model Details |
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- **Developed by:** Robin Rombach, Patrick Esser, Alfred Increment |
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- **Model type:** Diffusion-based text-to-image generation model |
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- **Language(s):** English |
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- **License:** [CreativeML Open RAIL++-M-NC License](MODEL-LICENSE), [AGPL-3.0](https://www.gnu.org/licenses/agpl-3.0.ja.html) |
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- **Model Description:** This is a model that can be used to generate and modify images based on text prompts. It is a [Latent Diffusion Model](https://arxiv.org/abs/2112.10752) that uses a fixed, pretrained text encoder ([OpenCLIP-ViT/H](https://github.com/mlfoundations/open_clip)). |
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- **Resources for more information:** [GitHub Repository](https://github.com/Stability-AI/). |
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- **Cite as:** |
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@InProceedings{Rombach_2022_CVPR, |
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author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj\"orn}, |
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title = {High-Resolution Image Synthesis With Latent Diffusion Models}, |
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booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, |
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month = {June}, |
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year = {2022}, |
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pages = {10684-10695} |
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} |
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*This model card was written by: Alfred Increment and is based on the [Stable Diffusion v2](https://huggingface.co/stabilityai/stable-diffusion-2/raw/main/README.md) |
