daam
diffusers-interpret
daam | diffusers-interpret | |
---|---|---|
4 | 15 | |
607 | 259 | |
3.6% | - | |
5.5 | 10.0 | |
about 1 month ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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.
daam
- q: can I somehow validate my prompt as meaningful?
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Patchouli is kind of a vibe, tbh
I did see this recently, where it can generate a heatmap of what an addition to a prompt changed in the image, but I haven't tried it yet, and that's not exactly much of an an explanation anyways
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[R] What the DAAM: Interpreting Stable Diffusion and Uncovering Generation Entanglement
Paper: What the DAAM: Interpreting Stable Diffusion Using Cross Attention (arXiv paper, codebase)
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[Discussion] Approach for applying Explainable AI on Diffusion Models
Found relevant code at https://github.com/castorini/daam + all code implementations here
diffusers-interpret
- Stable Diffusion links from around September 29, 2022 that I collected for further processing
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Diffusers-Interpret π€π§¨π΅οΈββοΈ - Model explainability for π€ Diffusers
Check the project at https://github.com/JoaoLages/diffusers-interpret
- Diffusers-Interpret v0.4.0 is out! Explainability for Stable Diffusion
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Can we please make a general update on all the "most important" news/repos available?
For those who want to explore what the denoising process looks like, check out the [diffusers-interpret package](https://github.com/JoaoLages/diffusers-interpret)! You can generate a GIF like [this one](https://github.com/TomPham97/diffuser/blob/main/diffusion-process.gif?raw=true).
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Commas, How do they work?!
If you have lots of RAM the diffusers-interpreter is an explainability tool that can show exactly how much each token is beings weighted and which part of the image it is influencing.
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[D] Senior research scientist at GoogleAI, Negar Rostamzadeh: βCan't believe Stable Diffusion is out there for public use and that's considered as βokβ!!!β
github.com/JoaoLages/diffusers-interpret
- Model explainability for π€ Diffusers. Get explanations for your generated images with the latest stable diffusion model!
- [P] Model explainability for π€ Diffusers. Get explanations for your generated images with the latest stable diffusion model!
What are some alternatives?
Rerender_A_Video - [SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation
stable-diffusion-webui - Stable Diffusion web UI
infinite-zoom-stable-diffusion - resources for creating Ininite zoom video using Stable Diffiusion, you can use multiple prompts and it is easy to use.
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
LECO - Low-rank adaptation for Erasing COncepts from diffusion models.
diffusion-ui - Frontend for deeplearning Image generation
stable-diffusion-docker - Run the official Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint.
stable-diffusion-webui-feature-showcase - Feature showcase for stable-diffusion-webui
paint-with-words-sd - Implementation of Paint-with-words with Stable Diffusion : method from eDiff-I that let you generate image from text-labeled segmentation map.
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]
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
stable-diffusion