artbot-for-stable-diffusion
diffusers
| artbot-for-stable-diffusion | diffusers | |
|---|---|---|
| 85 | 105 | |
| 157 | 1,870 | |
| - | - | |
| 9.4 | 7.0 | |
| about 1 month ago | 11 months ago | |
| TypeScript | Python | |
| MIT License | Apache License 2.0 |
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artbot-for-stable-diffusion
- ArtBot for Stable Diffusion
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Show HN: I have created a free text-to-image website that supports SDXL Turbo
I am going to plug artbot, an actually free SD image generator: https://tinybots.net/artbot
The front end is all local, and the backend image generation run on volunteer hosts running on the AI Hoard. I donate my own 3090/2060 sometimes (albeit for text generation, not imagegen).
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NSFW AI Tools
No mention of the AI Horde anywhere?
https://tinybots.net/artbot
https://lite.koboldai.net/
- Run LLMs at home, BitTorrent‑style
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Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0
This AI Horde UI has, IMO, some really good templates and suggestions:
https://tinybots.net/artbot
- SDXL 1.0 Release Candidate now in rotation on the AI Horde
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A prompt without a subject!
Tried just now and this is the result, i haven't clear what is the LSDR 3.75 parameter, im using https://tinybots.net/artbot
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[DISCUSSION] The delegitimization of AI art is nothing new...
Try either of these, they in theory would work on your phone or PC https://aqualxx.github.io/stable-ui/ https://tinybots.net/artbot
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Useful Links
ArtBot
- Sci-Fi posters
diffusers
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Useful Links
ShivamShrirao's Diffusers Pretrained diffusion models across multiple modalities.
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DreamBooth fine-tuning failing to get the style
Like the title say I'm trying to fine-tune a model to match a style of a popular manhwa. I'm using the ShivamShrirao Google Colab to accomplish this.
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How to resume Dreambooth training?
I am running the DreamBooth_Stable_Diffusion.ipynb notebook from ShivamShrirao locally on my machine. Let's say I have trained for 500 iterations and it hasn't converged yet. How do I make it resume training from that iteration so it can do another 500?
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Non web-ui colab
My understanding, based on messages from an (alleged) representative of colabs, is that the webui is the problem, not SD itself. This also seems to be the consensus in the comments section of other posts. I have not yet seen a link to colab based webui alternatives so here is something I found from a tutorial. I am certain that there are better alternatives. Anyone have a better idea? This will still probably be useful to other people like me who are just messing around.
- [Stablediffusion] Guide pour DreamBooth avec 8 Go de vram sous Windows
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Finally got Dreambooth running without errors... but is it even using the model I trained?
I'm running ShivamShrirao's fork of diffusers; ran into a fp16 issue and had to patch in a fix from the main branch ( #1567 ).
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Shivam Stable Diffusion: Getting same example models repeatedly (SD + Dreambooth)
I am running Shivam Stable Diffusion Jupyter notebook: diffusers/DreamBooth_Stable_Diffusion.ipynb at main · ShivamShrirao/diffusers · GitHub.
- Running Stable Diffusion locally with personalized changes
- Can't create embedding's with dreambooth ckpt
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Weird issue using Shivam's Diffuser notebook
Are you using this one? https://github.com/S
What are some alternatives?
unprompted - Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
stable-diffusion-webui - Stable Diffusion web UI
civitai - A repository of models, textual inversions, and more
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
ControlNet - Let us control diffusion models!
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
scribble-diffusion - Turn your rough sketch into a refined image using AI
efficient-dreambooth - [Moved to: https://github.com/smy20011/dreambooth-docker]
stable-diffusion-webui-colab - stable diffusion webui colab
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.