stable-diffusion-reference-only
sliders
| stable-diffusion-reference-only | sliders | |
|---|---|---|
| 3 | 3 | |
| 114 | 742 | |
| - | - | |
| 9.1 | 8.3 | |
| about 2 months ago | 30 days ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
stable-diffusion-reference-only
- List of Stable Diffusion research softwares that I don't think gotten widespread adoption.
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Stable Diffusion Reference Only: : Image Prompt and Blueprint Jointly Guided Multi-Condition Diffusion Model for Secondary Painting
Code: https://github.com/aihao2000/stable-diffusion-reference-only
sliders
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Are we at peak vector database?
> Always felt they're more like hashes/fingerprints for the RAG use cases.
Yes, I see where you’re coming from. Perceptual hashes[0] are pretty similar, the key is that similar documents should have similar embedding (unlike cryptographic hashes, where a single bit flip should produce a completely different hash).
Nice embeddings encode information spatially, a classic example of embedding arithmetic is: king - man + woman = queen[1]. “Concept Sliders” is a cool application of this to image generation [2].
Personally I’ve not had _too_ much trouble with running out of RAM due to embeddings themselves, but I did spend a fair amount of time last week profiling memory usage to make sure I didn’t run out in prod, so it is on my mind!
[0] https://en.m.wikipedia.org/wiki/Perceptual_hashing
[1] https://www.technologyreview.com/2015/09/17/166211/king-man-...
[2] https://github.com/rohitgandikota/sliders
- LoRA Adaptors for Precise Control in Diffusion Models
- List of Stable Diffusion research softwares that I don't think gotten widespread adoption.
What are some alternatives?
deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
ziplora-pytorch - Implementation of "ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs"
SEED - Official implementation of SEED-LLaMA (ICLR 2024).
RIVAL - [NeurIPS 2023 Spotlight] Real-World Image Variation by Aligning Diffusion Inversion Chain
DCT-Net - Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization
DemoFusion - Let us democratise high-resolution generation! (CVPR 2024)
ComfyUI_experiments - Some experimental custom nodes.
LAMP - Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)
animegan2-pytorch - PyTorch implementation of AnimeGANv2