dreambooth-docker
efficient-dreambooth
| dreambooth-docker | efficient-dreambooth | |
|---|---|---|
| 4 | 9 | |
| 132 | 45 | |
| - | - | |
| 0.0 | 10.0 | |
| about 1 year ago | over 1 year ago | |
| Dockerfile | Dockerfile | |
| - | - |
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dreambooth-docker
- Don't overpay for dreambooth training!
- Stable Diffusion links from around October 5, 2022 that I collected for further processing
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Trained model produces exactly the same result as the original
For reference, I'm using this docker container, not sure if that is related: https://github.com/smy20011/dreambooth-docker
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Want to use your own face ? Uploading a Tutorial today !
I'm using this Repo: https://github.com/smy20011/dreambooth-docker
efficient-dreambooth
- Want to use your own face ? Uploading a Tutorial today !
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Inserting your face to any picture after Dreambooth (or other faces)
Well, i don't better make a video to install this repo https://github.com/smy20011/efficient-dreambooth in windows, so we all can train our models?
- Automatic1111 with WORKING local textual inversion on 8GB 2090 Super !!!
- Show HN: Train Stable Diffusion Dreambooth on 1080ti
- Train dreambooth on 11GB GPU with prebuilt docker image
- Dreambooth in 11GB of VRAM
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Help with Dreambooth
Option1: you wait for people to push the limits. its currently at 11gb.
What are some alternatives?
stable-diffusion-loopback-color-correction-script - A script for AUTOMATIC1111/stable-diffusion-webui that allows advanced color correction options for img2img loopback
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
AI-Horde - A crowdsourced distributed cluster for AI art and text generation
Dreambooth-Stable-Diffusion-cpu - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
dreambooth-training-guide
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Stable-diffusion-webui-video
stable-diffusion-webui - Stable Diffusion web UI
dreambooth-gui
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.
stable-dreambooth-optimized - Dreambooth implementation based on Stable Diffusion with minimal code.