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Currently working on:

Idea Status References/Papers
FIFO CogVideoX In Progress https://jjihwan.github.io/projects/FIFO-Diffusion
Comparision of different cfg like methods In Progress Smoothed Energy Guidance, Guidance embedding, CFG and CFG++
Flux Image Inversion using RNRI Blocked. Understanding of prior for flow matching too low https://barakmam.github.io/rnri.github.io/
CogVideoX Attention Scaling Paused. Need to recheck for higher res https://arxiv.org/abs/2306.08645
RB Modulation for FLUX Planned. SOC is straightforward. AFA needs to be seen in detail. Planning to replace CSD with other image opeerators for different manifold explorations. Soft histograms for relative color palette retention ? https://rb-modulation.github.io/
CogVideoX distillation using FineVideo and PeRFlow Planned. Needs compute grant. May be scrapped once BFLs video model is out. https://arxiv.org/abs/2405.07510
Underwater Image Colorization as an Inverse Problem Planned. Needs better underestanding of inverse problems https://github.com/LituRout/PSLD
Flux generation steering using SAE for CLIP Planned. Need better understanding of SAEs & apply them to T5 as well https://www.lesswrong.com/posts/Quqekpvx8BGMMcaem/interpreting-and-steering-features-in-images
LoRA (move to MoRA ?) ControlNet layer Planned. Compute ∆W for Flux dev & its controlnet layer. Decompose to LoRA and see decomposition error. If its low enough, LoRA should be enough ChatGPT conversation
MoRA finetuning Flux I have a hypothesis: MoRA might give better samples than LoRA for Flux. I'll try it out sometime next week maybe. TLDR: 1. Full finetuning > LoRA for personalization. 2. Full finetuning > MoRA > DoRA > LoRA. 3. MoRA should converge fast like LoRA but give better quality/diversity like finetuning. There should be no free lunch though. Hmm 1. MoRA: High-rank PEFT Approach 2. Full Finetuning of Flux 3. GitHub: MoRA
Transformer layers as Painters for DiTs Complete. Results published here https://arxiv.org/abs/2407.09298

Checkout my notes/blog here: abhinay1997.github.io

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