diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by ShivamShrirao)
Dreambooth-Stable-Diffusion-cpu
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion (by andreae293)
| diffusers | Dreambooth-Stable-Diffusion-cpu | |
|---|---|---|
| 105 | 6 | |
| 1,870 | 14 | |
| - | - | |
| 7.0 | 10.0 | |
| 11 months ago | over 1 year ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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.
diffusers
Posts with mentions or reviews of diffusers.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-09.
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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
Dreambooth-Stable-Diffusion-cpu
Posts with mentions or reviews of Dreambooth-Stable-Diffusion-cpu.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-24.
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Should I use the CPU only dreambooth?
I got a GTX 1650 with 4GB VRAM, which isn't really that good for training. My i5-4670 isn't the most efficient either, but it would still be possible to use. Is the CPU only option in the regular dreambooth out do I have to get this version: https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu
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Dreambooth on <12GB locally?
I haven't seen any optimizations on the JoePenna or gammagec forks. They are still at 24GB. NMKD mentioned possibly optimizing it more, now that it's included in that GUI. There's also a CPU-only version. I don't really understand the differences between these (which all come from XavierXiao) and the diffusers versions - is it just more optimization or are they fundamentally different?
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Is it possible to fine tune with a 6GB GPU?
There is a CPU-only fork: https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu. Needs a lot (35-40GB) of RAM. It works like the JoePenna version, not the diffusers version. I don't fully understand the differences between the two, besides that the diffusers version has been more heavily optimized for low VRAM.
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Has anyone had luck on 10 gb vram following this local dreambooth video guide?
if you're willing to wait for it to process you could do what i'm doing (i have a 2070 with 8gb vram) and try this one - https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu
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Dreambooth in 11GB of VRAM
This https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu I believe should produce as ckpt file. You're probably testing the CPU on the hugging face version.
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Dreambooth Stable Diffusion training in just 12.5 GB VRAM, using the 8bit adam optimizer from bitsandbytes along with xformers while being 2 times faster.
Just found this one: https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu
What are some alternatives?
When comparing diffusers and Dreambooth-Stable-Diffusion-cpu you can also consider the following projects:
stable-diffusion-webui - Stable Diffusion web UI
efficient-dreambooth - [Moved to: https://github.com/smy20011/dreambooth-docker]
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
xformers_wheels
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.
diffusers vs stable-diffusion-webui
Dreambooth-Stable-Diffusion-cpu vs efficient-dreambooth
diffusers vs fast-stable-diffusion
Dreambooth-Stable-Diffusion-cpu vs bitsandbytes
diffusers vs A1111-Web-UI-Installer
Dreambooth-Stable-Diffusion-cpu vs xformers
diffusers vs xformers
Dreambooth-Stable-Diffusion-cpu vs diffusers
diffusers vs efficient-dreambooth
Dreambooth-Stable-Diffusion-cpu vs xformers_wheels
diffusers vs Dreambooth-Stable-Diffusion
Dreambooth-Stable-Diffusion-cpu vs stable-dreambooth-optimized