File size: 1,766 Bytes
bfeb516 40f16af bfeb516 ec243f0 40f16af 6004050 ec243f0 26fb845 ec243f0 0bbbf11 ec243f0 6342f2e 574186d 26fb845 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ---
license: creativeml-openrail-m
thumbnail: "https://huggingface.co/wavymulder/Analog-Diffusion-XL/resolve/main/imgs/tile_page1.jpg"
---
**Analog Diffusion XL**
[*SAFETENSORS DOWNLOAD LINK*](https://huggingface.co/wavymulder/Analog-Diffusion-XL/resolve/main/analogXLrelease.safetensors?download=true) - This is an **SDXL LoRA** trained on a diverse set of analog photographs.
I typically use this LoRA at 0.6-1.0 Strength. In your prompt, use the activation token: `analog style`
Sometimes pushes a green tint too hard, in these instances you can use negative prompting such as `green` or `split-toning` to help. Some prompts may struggle to generate consistently in color, in these instances you can use `sepia` and `grayscale` in negative to help.
Please see [this document where I share the parameters (prompt, sampler, seed, etc.) used for all example images.](https://huggingface.co/wavymulder/Analog-Diffusion-XL/resolve/main/parameters_used_examples.txt)
Trained on *sd_xl_base_1.0_0.9vae.safetensors* . All examples are generated on *sd_xl_base_1.0_0.9vae.safetensors* using this LoRA. No hi-res fix, upscaling, inpainting, etc. done on any samples here.
I have tested this LoRA with some popular community Photo SDXL checkpoints and gotten good results, you just may have to play around with the LoRA Strength to achieve your desired result (may need >1).
|