awesome-stable-diffusion
diffusers
awesome-stable-diffusion | diffusers | |
---|---|---|
10 | 266 | |
1,413 | 22,646 | |
1.8% | 2.8% | |
0.0 | 9.9 | |
about 1 month ago | 6 days ago | |
Python | ||
Mozilla Public License 2.0 | Apache License 2.0 |
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.
awesome-stable-diffusion
- Other platform similar to civitai?
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The Count of Castlevania
Github list of additionally resources and guides
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New to ai generating images - are images in this subreddit from downloaded versions of Diffusion sites?
This big list keeps track of a few local versions, most of them without any NSFW block, https://github.com/awesome-stable-diffusion/awesome-stable-diffusion
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List of Stable Diffusion systems - Part 4
(Added Aug. 31, 2022) Awesome Stable-Diffusion.
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Can we please make a general update on all the "most important" news/repos available?
Meanwhile, the GitHub repository is always updatable and always found at the same URL, so if you want to see the latest news, you can just go to the page and look for yourself. Want to see what's new from the last week? Look at the commits (https://github.com/awesome-stable-diffusion/awesome-stable-diffusion/commits/main) and you can see what recently changed.
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Awesome Stable Diffusion - Community-maintained list of software and resources for Stable Diffusion
If you have a GitHub account, send a PR :) It's easy to edit the file, click here: https://github.com/awesome-stable-diffusion/awesome-stable-diffusion/edit/main/README.md
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Running Stable Diffusion on Your GPU with Less Than 10Gb of VRAM
I didn't realize 512x512 on 4GB VRAM (Win10 over RDP) was anything unusual, just followed https://github.com/awesome-stable-diffusion/awesome-stable-d... to https://github.com/basujindal/stable-diffusion and followed the instructions.
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A collection of sites using Stable Diffusion (and other handy links)
Let's move/copy this to GitHub: https://github.com/awesome-stable-diffusion/awesome-stable-diffusion
diffusers
- StableDiffusionSafetyChecker
- 🧨 diffusers 0.24.0 is out with Kandinsky 3.0, IP Adapters, and others
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What am I missing here? wheres the RND coming from?
I'm missing something about the random factor, from the sample code from https://github.com/huggingface/diffusers/blob/main/README.md
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T2IAdapter+ControlNet at the same time
Hey people, I noticed that combining these two methods in a single forward pass increases the controllability of the generation quite a bit. I was kind of puzzled that sometimes ControlNet yielded better results than T2IAdapter for some cases, and sometimes it was the other way around, so I decided to test both at the same time, and results were quite nice. Some visuals and more motivation here: https://github.com/huggingface/diffusers/issues/5847 And it was already merged here: https://github.com/huggingface/diffusers/pull/5869
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Won't you benchmark me?
Open Parti Prompts: The better way to evaluate diffusion models (repo)
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kohya_ss error. How do I solve this?
You have disabled the safety checker for by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 .
- Making a ControlNet inpaint for sdxl
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Stable Diffusion Gets a Major Boost with RTX Acceleration
For developers, TensorRT support also exists for the diffusers library via community pipelines. [1] It's limited, but if you're only supporting a subset of features, it can help.
In general, these insane speed boosts comes at the cost of bleeding edge features.
[1] https://github.com/huggingface/diffusers/blob/28e8d1f6ec82a6...
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Mysterious weights when training UNET
I was training sdxl UNET base model, with the diffusers library, which was going great until around step 210k when the weights suddenly turned back to their original values and stayed that way. I also tried with the ema version, which didn't change at all. I also looked at the tensor's weight values directly which confirmed my suspicions.
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I Made Stable Diffusion XL Smarter by Finetuning It on Bad AI-Generated Images
Merging LoRAs is essentially taking a weighted average of the LoRA adapter weights. It's more common in other UIs.
diffusers is working on a PR for it: https://github.com/huggingface/diffusers/pull/4473
What are some alternatives?
sd-webui-colab - A repo for the maintenance of the Colab version of stable-diffusion-webui repo
stable-diffusion-webui - Stable Diffusion web UI
glid-3-xl-stable - stable diffusion training
stable-diffusion - A latent text-to-image diffusion model
stable_diffusion.openvino
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
stable-diffusion
invisible-watermark - python library for invisible image watermark (blind image watermark)
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
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.