diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by ShivamShrirao)
diffusers_stablediff_conversion
converts huggingface diffusers stablediffussion models to stablediffusion ckpt files usable in most opensource tools (by ratwithacompiler)
| diffusers | diffusers_stablediff_conversion | |
|---|---|---|
| 105 | 7 | |
| 1,870 | 53 | |
| - | - | |
| 7.0 | 0.0 | |
| 11 months ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | - |
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
diffusers_stablediff_conversion
Posts with mentions or reviews of diffusers_stablediff_conversion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-28.
- New Release: Redshift Diffusion 768 trained on SD 2.0 - now available on HuggingFace
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How can I use trained styles in Automatic1111?
https://github.com/ratwithacompiler/diffusers_stablediff_conversion has a converter script.
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Is there any way to convert a ckpt file back into the original diffusers?
There are plenty of scripts such as this one to generate a single .ckpt file, but is there a way to do it the other way round?
- Help running the convention script to CKPT.
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Made a Hugginface Dreambooth models to .ckpt conversion script that needs testing
I just tried out the huggingface dreambooth colab and was annoyed that there's no way to use those as ckpts with all the open source tools so hacked this together: https://github.com/ratwithacompiler/diffusers_stablediff_conversion/blob/main/convert_diffusers_to_sd.py
- Automatic1111 with WORKING local textual inversion on 8GB 2090 Super !!!
What are some alternatives?
When comparing diffusers and diffusers_stablediff_conversion 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
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
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.
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
bin2ckpt - Convert Huggingface Pytorch checkpoint to Tensorflow checkpoint
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Dreambooth-SD-optimized - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
diffusers vs stable-diffusion-webui
diffusers_stablediff_conversion vs efficient-dreambooth
diffusers vs fast-stable-diffusion
diffusers_stablediff_conversion vs fast-stable-diffusion
diffusers vs A1111-Web-UI-Installer
diffusers_stablediff_conversion vs Dreambooth-Stable-Diffusion
diffusers vs xformers
diffusers_stablediff_conversion vs bin2ckpt
diffusers vs efficient-dreambooth
diffusers_stablediff_conversion vs diffusers
diffusers vs Dreambooth-Stable-Diffusion
diffusers vs Dreambooth-SD-optimized