stable-diffusion
improved-aesthetic-predictor
| stable-diffusion | improved-aesthetic-predictor | |
|---|---|---|
| 1 | 8 | |
| 0 | 742 | |
| - | - | |
| 10.0 | 3.6 | |
| over 1 year ago | 8 months ago | |
| Jupyter Notebook | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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stable-diffusion
improved-aesthetic-predictor
- [D] Is accurately estimating image quality even possible?
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[D] Looking for publicly available generative image datasets labeled with human preferences or scores. Any recommendations?
Perhaps you could use an "aesthetic-evaluator": https://github.com/christophschuhmann/improved-aesthetic-predictor (probably not SoTA but it works)
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What are the current must-have extensions for Automatic1111?
"Calculates aesthetic score for generated images using CLIP+MLP Aesthetic Score Predictor based on Chad Scorer "
- Is there an AI which can judge the “aesthetic potential” of an image? [D]
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Dreamer's Guide to Getting Started w/ Stable Diffusion!
stable-diffusion-v1-2: Resumed from stable-diffusion-v1-1. 515,000 steps at resolution 512x512 on "laion-improved-aesthetics" (a subset of laion2B-en, filtered to images with an original size >= 512x512, estimated aesthetics score > 5.0, and an estimated watermark probability < 0.5. The watermark estimate is from the LAION-5B metadata, the aesthetics score is estimated using an improved aesthetics estimator).
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[P] Waifu-Diffusion: a Stable Diffusion model finetuned on 56k Danbooru images
The data used for fine-tuning has come from a random sample of 56k Danbooru images, which were filtered based on CLIP Aesthetic Scoring where only images with an aesthetic score greater than 6.0 were used.
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Waifu-Diffusion v1-2: A SD 1.4 model finetuned on 56k Danbooru images for 5 epochs
All they've said is they randomly picked 56,000 images that had an aesthetic score greater than 6.0. The score is created by this model. https://github.com/christophschuhmann/improved-aesthetic-predictor
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How to combine stable diffusion with a model which predicts aesthetics score?
Does anyone know how you could combine a model like Aesthetic Score Predictor with stable diffusion? They used this model to filter training images by score. Iit seems like a lot of people just tune their prompt to make images more aesthetic, by adding certain words.
What are some alternatives?
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
waifu-diffusion - stable diffusion finetuned on weeb stuff
stable-diffusion-webui - Stable Diffusion web UI
DiffusionToolkit - Metadata-indexer and Viewer for AI-generated images
stable-diffusion - A latent text-to-image diffusion model
discord-rpc-for-automatic1111-webui - Silent extension (no tab) for AUTOMATIC1111's Stable Diffusion WebUI adding connection to Discord RPC, so it would show a fancy table in the Discord profile.
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
sd-wildcards - A collection of wildcards for Stable Diffusion
stable-diffusion-webui-aesthetic-image-scorer
stable-diffusion-webui-stable-horde - Stable Horde client for AUTOMATIC1111's Stable Diffusion Web UI
sd-webui-ar - Select img aspect ratio from presets in sd-webui
sd_auto_fix - Fine, I'll just put my pull requests here.