stable-diffusion-aesthetic-gradients
DreamArtist-sd-webui-extension
stable-diffusion-aesthetic-gradients | DreamArtist-sd-webui-extension | |
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14 | 7 | |
703 | 685 | |
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10.0 | 3.3 | |
over 1 year ago | 6 months ago | |
Jupyter Notebook | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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stable-diffusion-aesthetic-gradients
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Can anyone help me describe the style of this picture? I "accidentally" got this from the base 2.1 model with just a few words and can't recreate the style now.
You might want to try https://github.com/vicgalle/stable-diffusion-aesthetic-gradients to see if you can reproduce the style without necessarily having to come up with text descriptions
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Is there a way that SD can combine 2 images together?
Aesthetic gradients plugin for Automatic1111 WebUI
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Is it possible to Interrogate images not into text, but embeddings?
I think you're describing Aesthetic Gradients
- I'm a photographer with hundreds of thousands of photos of beautiful models, can I use these to improve my Stable Diffusion?
- Can SD users share trained embeddings? If so, is there a place to do so?
- A quick test of the Clip Aesthetic feature added to A11111
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Aesthetic gradients feature has been added to AUTOMATIC1111 GitHub repo. Aesthetic gradients is a "computationally cheap" method of generating images in a style specified in a set of input images.
Its different imo. Look at the floral example flower_plant https://github.com/vicgalle/stable-diffusion-aesthetic-gradients
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Aesthetic gradients: a "computationally cheap" method of generating images in a style specified in a set of input images without altering a model. Code for aesthetic gradients in Stable Diffusion has been released.
Also, since you have found some interesting aesthetic embeddings, if you wish, you can contribute your embeddings by opening a PR in the repo https://github.com/vicgalle/stable-diffusion-aesthetic-gradients !
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I'm happy to announce that our first model, CSALPHA0, drops on Friday October 21st. But we need your support to host the ckpt file. Details inside.
We could definitely use some help with generating aesthetic gradient tensors if you think you'd like to take some of that on. It's a fairly straightforward process and it's all laid out in this repo. I would love to see what you come up with and how you implement it. The file output is a pytorch tensor so it's extremely small which makes it great for sharing with friends!
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Is there a shortcut to this workflow?: generate an image, upscale it, regenerate just a cropped portion at the higher resolution, then stitch that regenerated portion onto the upscaled image?
You could look into generating your own aesthetic gradients using a dataset of people from a distance with faces you like in the style you're going for. Here's the repo. It's much more compute efficient than retraining over and over to adjust for overtraining with many tokens at a time. Although it can take some time adjusting your aesthetic steps. You should be able to get results! Just explore and have fun!
DreamArtist-sd-webui-extension
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How to Train Your Series: Abridged (Link to full guide in comments)
I use this extension for creating an embedding with a single image as an input https://github.com/7eu7d7/DreamArtist-sd-webui-extension
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Genuine question regarding how SD works with a new creation.
In case you want to look at it: https://github.com/7eu7d7/DreamArtist-stable-diffusion and https://github.com/7eu7d7/DreamArtist-sd-webui-extension for Automatic1111 (it's on the extensions list)
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Can anyone help me describe the style of this picture? I "accidentally" got this from the base 2.1 model with just a few words and can't recreate the style now.
Would the DreamArtist extension for A1111 work for you?
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dreambooth model for cutting machines
I want to try the DreamArtist extension for automatic which promises one image DreamBooth. I imagine that could work with this as the base model?
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DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning with A1111 web ui
extension: https://github.com/7eu7d7/DreamArtist-sd-webui-extension
- DreamArtist - 1 image to Textual Inversion embedding. The results are stunning but a decent workflow would be much appreciated. Has anyone tried this and could share their process?
What are some alternatives?
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
DreamArtist-stable-diffusion - stable diffusion webui with contrastive prompt tuning
novelai-aspect-ratio-bucketing - Implementation of aspect ratio bucketing for training generative image models as described in: https://blog.novelai.net/novelai-improvements-on-stable-diffusion-e10d38db82ac
Txt2Vectorgraphics - Custom Script for Automatics1111 StableDiffusion-WebUI.
stable-diffusion - Heavily refactored version of the stable diffusion development repository. Used for the SmirkingFace project.
EveryDream2trainer
stable-diffusion-webui - Stable Diffusion web UI
japanese-stable-diffusion - Japanese Stable Diffusion is a Japanese specific latent text-to-image diffusion model capable of generating photo-realistic images given any text input.
stable-diffusion-webui-aesthetic-gradients - Aesthetic gradients extension for web ui