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SD-Regularization-Images-Style-Dreambooth Alternatives
Similar projects and alternatives to SD-Regularization-Images-Style-Dreambooth
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles. (by JoePenna)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Dreambooth-SD-optimized
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
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Stable-Diffusion-Regularization-Images
For use with fine-tuning, especially the current implementation of "Dreambooth".
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion (tweaks focused on training faces) (by kanewallmann)
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The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better SD-Regularization-Images-Style-Dreambooth alternative or higher similarity.
SD-Regularization-Images-Style-Dreambooth reviews and mentions
Posts with mentions or reviews of SD-Regularization-Images-Style-Dreambooth.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-07.
- Comic Diffusion V2. This is a culmination of everything worked towards so far. Trained on 6 styles at the same time, mix and match any number of them to create multiple different unique and consistent styles.
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Question about training styles
I'm using the Joe Penna's repo on runpod and using only 20 training images and 1700 reg images from https://github.com/aitrepreneur/SD-Regularization-Images-Style-Dreambooth to trin styles. I'm getting very good results.
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Classic Disney animation dreambooth model
I'm new to using dreambooth, but I followed the steps in some of the recent trending examples to make a "classic disney" art style. I pulled/cropped/reframed about 50 reference images, and used the style examples [from here](https://github.com/aitrepreneur/SD-Regularization-Images-Style-Dreambooth), trained with 6400 steps. Colors are typically oversaturated, and it's really hard to control. I've also found that adding artists helps balance the composition out a lot. Here are some of the sample outputs!
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Fine-tuned the model on Kurzgesagt videos with DreamBooth. Here are some results.
I've used this repository for regularization images. And these options for training: --class_word "style" --token "kurzgesagt"
- 2D Illustration Styles are scarce on Stable Diffusion so i created a dreambooth model inspired by Hollie Mengert's work
- Hello, i saw that you can train dreambooth for a style, I tried taring dreambooth on vast.ai for a children book illustration style but I got pretty awful result, any ideas what went wrong.
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I've further refined my Studio Ghilbi Model
I used around 20,000 steps (I forgot to look at number of steps when I stopped training). The regulation images I used can be obtained at https://github.com/aitrepreneur/SD-Regularization-Images-Style-Dreambooth
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Stats
Basic SD-Regularization-Images-Style-Dreambooth repo stats
7
29
10.0
over 1 year ago
Popular Comparisons
- SD-Regularization-Images-Style-Dreambooth VS Stable-Diffusion-Regularization-Images
- SD-Regularization-Images-Style-Dreambooth VS Dreambooth-Stable-Diffusion
- SD-Regularization-Images-Style-Dreambooth VS Dreambooth-Regularization
- SD-Regularization-Images-Style-Dreambooth VS Dreambooth-SD-optimized
- SD-Regularization-Images-Style-Dreambooth VS Txt2Vectorgraphics
- SD-Regularization-Images-Style-Dreambooth VS Dreambooth-Stable-Diffusion
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