DreamArtist-stable-diffusion
stable diffusion webui with contrastive prompt tuning (by IrisRainbowNeko)
EveryDream2trainer
By victorchall
DreamArtist-stable-diffusion | EveryDream2trainer | |
---|---|---|
12 | 48 | |
871 | 755 | |
- | - | |
10.0 | 9.2 | |
over 1 year ago | 16 days ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DreamArtist-stable-diffusion
Posts with mentions or reviews of DreamArtist-stable-diffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-06.
- Artist Styles 13 - workflow in comments
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Can you use ControlNet to "re-pose" a character with only 1 reference image?
My original approach was to try and use the DreamArtist extension to preserve details from a single input image, and then control the pose output with ControlNet's openpose to create a clean turnaround sheet, unfortunately, DreamArtist isn't great at preserving fine detail and the SD turnaround model doesn't play nicely with img2img.
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Alternative tools to fine tune stable diffusion models?
There's also many variations and GUI tools that mix the methods ( like Dreamartist that is like a textual inversion, but with only one image https://github.com/7eu7d7/DreamArtist-stable-diffusion )
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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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DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning with A1111 web ui
github: https://github.com/7eu7d7/DreamArtist-stable-diffusion
- "DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning" (1-shot learning of anime style & content for SD)
- DreamArtist: Towards Controllable One-Shot Text-to-Image Generation via Contrastive Prompt-Tuning [Improved textual inversion requiring only one training image]
- DreamArtist: Stable Diffusion with Constrastive Prompt Tuning
EveryDream2trainer
Posts with mentions or reviews of EveryDream2trainer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-04.
- 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?
When comparing DreamArtist-stable-diffusion and EveryDream2trainer you can also consider the following projects:
EveryDream-trainer - General fine tuning for Stable Diffusion
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
DreamArtist-sd-webui-extension - DreamArtist for Stable-Diffusion-webui extension
StableTuner - Finetuning SD in style.
stable-diffusion-webui - Stable Diffusion web UI
sd-scripts
kohya_ss
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
DreamArtist-stable-diffusion vs EveryDream-trainer
EveryDream2trainer vs ComfyUI
DreamArtist-stable-diffusion vs DreamArtist-sd-webui-extension
EveryDream2trainer vs StableTuner
DreamArtist-stable-diffusion vs stable-diffusion-webui
EveryDream2trainer vs sd-scripts
DreamArtist-stable-diffusion vs kohya_ss
EveryDream2trainer vs EveryDream-trainer
DreamArtist-stable-diffusion vs StableTuner
EveryDream2trainer vs stable-diffusion-webui-wd14-tagger
EveryDream2trainer vs kohya-trainer
EveryDream2trainer vs fast-stable-diffusion