DreamArtist-sd-webui-extension
EveryDream2trainer
DreamArtist-sd-webui-extension | EveryDream2trainer | |
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7 | 48 | |
688 | 755 | |
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3.3 | 9.2 | |
7 months ago | 18 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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?
EveryDream2trainer
- Question on SD Finetuning
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80% Completed!
I'm using EveryDream2 with SD v1 based models. You can define whatever resolution you want for training, as long as your Vram allows it.
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Freedom. Finetuned 2.1 that can gen (+1024x) and often without negative. Release this or next week. Demo available for testing in next days. Here are some creations from a closed beta that I released on Twitter yesterday. 20 people, 3 hours, 1500 gens. I hope you enjoy. More on imgur album.
There is a demo optimizers settings here that uses special settings for the text encoder: https://github.com/victorchall/EveryDream2trainer/blob/main/optimizerSD21.json
- Can we clear up the regularization images concept once and for all?
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Are there any recent, or still relevant, tutorials on training LoRAs within Dreambooth? Any specific / special settings to take advantage of my 4090?
If you have a large dataset of pictures, I'd recommend https://github.com/victorchall/EveryDream2trainer instead of Dreambooth. It has decent documentation (well for an open source project that is) and it has a very nice validation feature (disabled by default) which actually gives you good feedback on how the training is progressing.
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Train a model from 300k images?
EveryDream2 can handle this. They even have tools to help you autocaption using BLIP. https://github.com/victorchall/EveryDream2trainer
- [Dreambooth] The docs for this Dreambooth-like trainer, Everydream2
- Resources for artists interesting in using StableDiffusion as a tool?
- Is Joe Penna's DreamBooth still the best option for training photorealistic persons or faces?
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Can we identify most Stable Diffusion Model issues with just a few circles?
I recoment EveryDream2 for training, it has a lot of nice features. I'm not sure there is a proper manual to learn how to train, but there is a lot of information available. I have been learning this subjects for a few months myself.
What are some alternatives?
DreamArtist-stable-diffusion - stable diffusion webui with contrastive prompt tuning
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
Txt2Vectorgraphics - Custom Script for Automatics1111 StableDiffusion-WebUI.
StableTuner - Finetuning SD in style.
stable-diffusion-aesthetic-gradients - Personalization for Stable Diffusion via Aesthetic Gradients 🎨
sd-scripts
stable-diffusion-webui - Stable Diffusion web UI
EveryDream-trainer - General fine tuning for Stable Diffusion
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.