kiran's picture

kiran

kira

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ki6an

AI & ML interests

agi

Recent Activity

liked a dataset about 21 hours ago

google/FACTS-grounding-public

liked a dataset 16 days ago

allenai/tulu-3-sft-mixture

reacted to MonsterMMORPG's post with 🚀 16 days ago

FLUX Tools Complete Tutorial with SwarmUI (as easy as Automatic1111 or Forge) : Outpainting, Inpainting, Redux Style Transfer + Re-Imagine + Combine Multiple Images, Depth and Canny - More info at the oldest comment - No-paywall : https://youtu.be/hewDdVJEqOQ FLUX.1 Tools by BlackForestLabs changed the #AI field forever. They became the number 1 Open Source community provider after this massive release. In this tutorial, I will show you step by step how use FLUX.1 Fill model (inpainting model) to do perfect outpainting (yes this model used for outpainting) and inpainting. Moreover, I will show all features of FLUX Redux model to do style transfer / re-imagine 1 and more than 1 images combination. Furthermore, I will show you step by step how to convert input image into Depth or Canny maps and then how to use them on #FLUX Depth and Canny models. Both LoRA and full checkpoints of FLUX Depth and Canny. 🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial - Public - no-paywall) ⤵️ ▶️ https://www.patreon.com/posts/tutorial-instructions-links-public-post-106135985 Preparation of this tutorial took more than 1 week and this will be the very best and easiest to follow tutorial since it is made with famous #SwarmUI. SwarmUI is as easy and as advanced as Automatic1111 SD Web UI. Biggest advantage of SwarmUI is that, it uses ComfyUI as a back-end. Therefore, It is extremely fast, VRAM optimized and supports all of the newest SOTA models as soon as they are published. So in this tutorial I will show you how to setup SwarmUI and FLUX Dev tools on your Windows Computer, Massed Compute, RunPod and Kaggle. I will step by step explanatin and show you every tips and tricks that you need to properly do style transfer, re-imagine, inpaint, outpaint, depth and canny with FLUX. Video Chapters first image

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kira's activity

upvoted 2 collections about 1 month ago

xLAM models

xLAM: A Family of Large Action Models to Empower AI Agent Systems: https://github.com/SalesforceAIResearch/xLAM • 11 items • Updated 1 day ago • 44

Qwen2.5-Coder

Code-specific model series based on Qwen2.5 • 40 items • Updated 23 days ago • 255

upvoted a collection about 2 months ago

SmolLM2

State-of-the-art compact LLMs for on-device applications: 1.7B, 360M, 135M • 15 items • Updated 19 days ago • 194

upvoted 2 collections 5 months ago

Mini Pretrain Datasets

9 items • Updated Jul 9 • 9

Useful Pretrain-Datasets

pretrain-datasets with (maybe) good quality • 20 items • Updated Jun 12 • 1

upvoted a collection 7 months ago

Yi-1.5 (2024/05)

10 items • Updated May 20 • 90

upvoted a collection 8 months ago

GPT-4 generated datasets

Collection of some GPT-4 generated datasets. It may be useful for those looking for the best-quality datasets to train competitive LLMs. • 18 items • Updated Apr 16 • 8

upvoted a paper 8 months ago

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Paper • 2404.08801 • Published Apr 12 • 63

upvoted 4 papers 11 months ago

Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 21

Extending LLMs' Context Window with 100 Samples

Paper • 2401.07004 • Published Jan 13 • 15

Scalable Pre-training of Large Autoregressive Image Models

Paper • 2401.08541 • Published Jan 16 • 36

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

Paper • 2401.06951 • Published Jan 13 • 25

upvoted a collection 12 months ago

Papers about model merging

referenced in the mergekit repo: https://github.com/cg123/mergekit • 4 items • Updated Feb 13 • 14

upvoted 2 papers about 1 year ago

CogVLM: Visual Expert for Pretrained Language Models

Paper • 2311.03079 • Published Nov 6, 2023 • 23

DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 17

upvoted 4 papers over 1 year ago

One Wide Feedforward is All You Need

Paper • 2309.01826 • Published Sep 4, 2023 • 31

SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference

Paper • 2307.02628 • Published Jul 5, 2023 • 10

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Paper • 2306.17107 • Published Jun 29, 2023 • 11

Extending Context Window of Large Language Models via Positional Interpolation

Paper • 2306.15595 • Published Jun 27, 2023 • 53