makeitrad

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makeitrad

makeitrad

@makeitrad1

Artist, designer, pixel manipulator, exploring AI with childlike wonder 🤍 NFTs & AI art since 2021 🤍 Minting on request

Los Angeles, CA Katılım Mart 2021
7.7K Takip Edilen20.6K Takipçiler
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makeitrad
makeitrad@makeitrad1·
💜 The latest piece made with director @paultrillo and amazing team at Asteria Film Co. - "Cuco — A Love Letter To LA" 💛 Making of video in the comments. ✨ Please cut to the end of the video for full credits! 🤍🤍 @FlippingSigmas @AIWarper 👇👇👇
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What Dreams Cost
What Dreams Cost@WhatDreamsCost·
Just released LTX Director - An All-In-One Timeline Editor in ComfyUI. I2V, T2V, FLFF, Prompt Relay, Custom Audio, and more! Unlock LTX 2.3's full potential. Hopefully it helps you create cool stuff easier!
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SYSTMS
SYSTMS@thesystms·
Introducing FLW, our first LTX 2.3 IC LoRA - designed to create seamless transitions between shots Download link below ⏬
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Ingi Erlingsson 🪄
Ingi Erlingsson 🪄@ingi_erlingsson·
More @ltx_model IC LoRA experimentation - I’m currently training a LoRA for seamless transitions. I think this one’s close to being ready to ship 🚚💨
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makeitrad
makeitrad@makeitrad1·
@outsource_ found it! .hermes/plugins/hermes-workspace/dashboard/dist/index.js port 3002 is stated here instead of port 3000
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makeitrad
makeitrad@makeitrad1·
@outsource_ If I already installed in the manual way per the github can I still add it to my dashboard by doing this? It wont effect my configs or anything I setup before?
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Eric ⚡️ Building...
Eric ⚡️ Building...@outsource_·
🏰Shipped two plugins for Hermes Agent dashboard! HermesWorld — the multiplayer playground, embedded directly as a dashboard tab Hermes Workspace — full chat UI as a dashboard tab One-click install: → Plugins page → paste outsourc-e/hermesworld → Plugins page → paste outsourc-e/hermes-workspace-plugin That's it. No config, no setup. Clone, enable, it's in your sidebar. Built on the Hermes plugin system any dashboard plugin is just a git repo with a manifest + JS bundle. Ship your own in 5 minutes. github.com/outsourc-e/her… github.com/outsourc-e/her…
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makeitrad
makeitrad@makeitrad1·
I loaded the plugins after installing but in the inspector its trying to launch on port 3002 instead of 3000? Seems kinda strange... Unsafe attempt to load URL http://X.X.X.X:3002/chat/new from frame with URL chrome-error://chromewebdata/. Domains, protocols and ports must match.
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makeitrad
makeitrad@makeitrad1·
@outsource_ Thanks Eric! It looks really cool cant wait to play! Appreciate you sir 🫡
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A.I.Warper
A.I.Warper@AIWarper·
I was skeptical of Hermes & OpenClaw hype but after spending the whole weekend building a full automation stack from my couch just talking to it through Discord I am pretty sold. I am using Hermes with Codex on the pro plan and GPT 5.5 10/10 would recommend ✅
GIF
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Ingi Erlingsson 🪄
Ingi Erlingsson 🪄@ingi_erlingsson·
I've been testing with an unreleased WIP LTX 2.3 LoRA by LDWorks and among other things it enables some of the best performance transfer I've seen so far. It has some ghosting issues, but for a one-shot generation with no masking or pose data it's pretty impressive!
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makeitrad
makeitrad@makeitrad1·
@PurzBeats Funny I saw this and was gonna tag you... then I saw you posted it 🤣😂
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Purz.ai
Purz.ai@PurzBeats·
Purz.ai tweet media
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makeitrad
makeitrad@makeitrad1·
Sudo su@sudoingX

"how do you fit qwen 3.6 27b q4 on 24gb at 262k context" lands in my dms 5 times a week. here is the exact memory math. model bytes at idle = 16gb (q4_k_m of 27b dense) kv cache at 262k context with q4_0 for both k and v = 5gb total = 21gb on the card headroom = 3gb for prompts and tool call traces the magic is the kv cache type. most people leave it at default fp16 or push to q8 thinking quality wins. on qwen 3.6 27b dense at 262k: - fp16 kv cache = does not fit at all - q8 kv cache = fits at 23gb but runs 3x slower (double penalty: more vram, less speed) - q4_0 kv cache = fits at 21gb at full speed (40 tok/s flat curve, same speed at 4k or 262k) most builders never test the kv cache type because tutorials never mention it. it is the single biggest unlock on consumer 24gb hardware. flags i run: ./llama-server -m Qwen3.6-27B-Q4_K_M.gguf -ngl 99 -c 262144 -np 1 -fa on --cache-type-k q4_0 --cache-type-v q4_0 what they do: -ngl 99 = offload everything to gpu -c 262144 = 262k context window -np 1 = single user slot (do not enable multi-slot, eats headroom) -fa on = flash attention on (memory and speed both win) --cache-type-k q4_0 --cache-type-v q4_0 = the unlock if you are sitting on 24gb and not running this config, you are leaving 250k of context on the table. or worse, you are running q8 kv cache and burning 3x your speed for nothing. q4 is not a compromise on consumer hardware. it is the right call.

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A.I.Warper
A.I.Warper@AIWarper·
What is the best LLM to pair with Hermes / OpenClaw that doesn’t constantly refute instructions? Currently using kimi 2.6 and it’s just always whining and refusing to do things. Feels like I have to jump through so many hoops to get it to do things.
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Machine Delusions
Machine Delusions@Machinedelusion·
@makeitrad1 Watching the lights flicker as I plugged in the power supply was my favorite part XD
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Machine Delusions
Machine Delusions@Machinedelusion·
Mind the mess, but it does run =P
Machine Delusions tweet media
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A.I.Warper
A.I.Warper@AIWarper·
Bouncing back and forth between GPT-Image-2 and Nano Banana Pro is very hard to retain the exact likeness or am I just crazy? Do these two people seem like the same person? Is it just the lighting that is throwing me off?
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Ingi Erlingsson 🪄
Ingi Erlingsson 🪄@ingi_erlingsson·
first time training an LTX LoRA and I think I've summoned a demon - pretty sure it's not supposed to sound like this. @ostrisai am I doing it right? 😅
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