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| language: |
| - en |
| thumbnail: >- |
| https://huggingface.co/wavymulder/Analog-Diffusion/resolve/main/images/page1.jpg |
| license: creativeml-openrail-m |
| tags: |
| - stable-diffusion |
| - stable-diffusion-diffusers |
| - text-to-image |
| - safetensors |
| - diffusers |
| inference: true |
| datasets: |
| - fka/awesome-chatgpt-prompts |
| metrics: |
| - bleu |
| library_name: diffusers |
| pipeline_tag: token-classification |
| --- |
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| **Analog Diffusion** |
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| [*CKPT DOWNLOAD LINK*](https://huggingface.co/wavymulder/Analog-Diffusion/resolve/main/analog-diffusion-1.0.ckpt) - This is a dreambooth model trained on a diverse set of analog photographs. |
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| In your prompt, use the activation token: `analog style` |
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| You may need to use the words `blur` `haze` `naked` in your negative prompts. My dataset did not include any NSFW material but the model seems to be pretty horny. Note that using `blur` and `haze` in your negative prompt can give a sharper image but also a less pronounced analog film effect. |
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| Trained from 1.5 with VAE. |
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| Please see [this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.](https://huggingface.co/wavymulder/Analog-Diffusion/resolve/main/parameters_used_examples.txt) |
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| We support a [Gradio](https://github.com/gradio-app/gradio) Web UI to run Analog-Diffusion: |
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| [Open in Spaces](https://huggingface.co/spaces/akhaliq/Analog-Diffusion) |
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| Here's a [link to non-cherrypicked batches.](https://imgur.com/a/7iOgTFv) |
