Các nhà phát triển AI tại 2026 sẽ dùng "n8n + Llama3.1 + Mistral/Deepgram + Composio" để xử lý song song thay thế chuỗi AI tuần tự. Ưu điểm: Tốc độ 6x, chính xác 94%, chi phí chỉ 1.15 USD/tháng. Ví dụ: Phân tích hợp đồng pháp lý, xử lý giọng nói. Thách thức: Xung đột dữ liệu, mất cân bằng tải. Câu hỏi: Bạn chọn chiến lược "hàng đợi ưu tiên" hay "luân phiên" cho phân bổ tải swarm AI?
#ParallelSwarm #AIOrchestrator #n8nAI #2026Tech #SwarmIntelligence #AIWorkflow #ScaleAI #CongNgheAI #PhanTichDuL
#AIWorkflow
YES SUCCEEDED!!!
Just rendered an image at 944×1152 (slightly above 1024×1024) using Flux1-Schnell-FP8 on my 6700 XT, and it works! (Image 1 is the Real-ESRGAN 2× upscaled version)
Workflow 1: Sampling (Image 2)
Prompt executed → UNet generates the latent
Step 1 (model load + latent generation) took 419 seconds
Output: Latent tensor saved to disk
Workflow 2 : VAE Decode (Image 3)
Latent loaded → VAE decodes the image
Duration: 7.5 seconds
Advantage: UNet doesn’t need to stay in VRAM → VRAM freed, even on 12 GB GPUs
The problem with the stock LoadLatent Node
Dropdown only shows files if they were produced / annotated by a previous SaveLatent Node
Node is designed to pass latents inside a graph, not load arbitrary files from disk
Purpose: prevents accidentally loading wrong files
Workaround (Image 4)
Edited /ComfyUI/nodes.py, class LoadLatent
Hardcoded latent path → Node now loads directly from disk
Result: Workflow 2 runs instantly, UNet can be unloaded
Timing
Step 1 (model load + latent generation): 419 s
Step 2 (VAE decode): 7.5 s
Result: High-res images on a 12 GB RDNA2 GPU are now possible on Flux1-Schnell-FP8 without ComfyUI crashing! (Image 5 is the original output)
This might actually become my new Flux workflow: render quick 512×512 previews first (which works perfectly on RDNA2 GPUs), sort out the good ones, extract the seed from the PNG metadata, and then re-render only the selected images with the same seed using the split workflow at higher resolutions. This way, high-resolution Flux1-Schnell-FP8 renders become possible on 12 GB RDNA2 GPUs D:
Question at the end: Has anyone ever done this before? Because I have no clue xD
#ComfyUI #flux #Flux1SchnellFP8 #FP8 #AMD #RDNA2 #VAE #AIArt #Pixelfed #HighResolution #GPUOptimization #LatentWorkflow #AIWorkflow #AIHacks #RealESRGAN #Upscale #AIExperiment #CreativeAI #DigitalArt #AICommunity #python #linux #opensource #foss
Just rendered an image at 944×1152 (slightly above 1024×1024) using Flux1-Schnell-FP8 on my 6700 XT, and it works! (Image 1 is the Real-ESRGAN 2× upscaled version)
Workflow 1: Sampling (Image 2)
Prompt executed → UNet generates the latent
Step 1 (model load + latent generation) took 419 seconds
Output: Latent tensor saved to disk
Workflow 2 : VAE Decode (Image 3)
Latent loaded → VAE decodes the image
Duration: 7.5 seconds
Advantage: UNet doesn’t need to stay in VRAM → VRAM freed, even on 12 GB GPUs
The problem with the stock LoadLatent Node
Dropdown only shows files if they were produced / annotated by a previous SaveLatent Node
Node is designed to pass latents inside a graph, not load arbitrary files from disk
Purpose: prevents accidentally loading wrong files
Workaround (Image 4)
Edited /ComfyUI/nodes.py, class LoadLatent
Hardcoded latent path → Node now loads directly from disk
Result: Workflow 2 runs instantly, UNet can be unloaded
Timing
Step 1 (model load + latent generation): 419 s
Step 2 (VAE decode): 7.5 s
Result: High-res images on a 12 GB RDNA2 GPU are now possible on Flux1-Schnell-FP8 without ComfyUI crashing! (Image 5 is the original output)
This might actually become my new Flux workflow: render quick 512×512 previews first (which works perfectly on RDNA2 GPUs), sort out the good ones, extract the seed from the PNG metadata, and then re-render only the selected images with the same seed using the split workflow at higher resolutions. This way, high-resolution Flux1-Schnell-FP8 renders become possible on 12 GB RDNA2 GPUs D:
Question at the end: Has anyone ever done this before? Because I have no clue xD
#ComfyUI #flux #Flux1SchnellFP8 #FP8 #AMD #RDNA2 #VAE #AIArt #Pixelfed #HighResolution #GPUOptimization #LatentWorkflow #AIWorkflow #AIHacks #RealESRGAN #Upscale #AIExperiment #CreativeAI #DigitalArt #AICommunity #python #linux #opensource #foss
RPA with Machine Learning Integration | Seasia Infotech
Seasia Infotech provides RPA with machine learning integration to build intelligent automation systems that adapt, learn, and optimize enterprise workflows.
👉 https://seasiainfotech.com/rpa-solutions
#AIPoweredRPA #SmartAutomation #EnterpriseRPA #AIWorkflow #AutomationSolutions #FutureOfWork
無異 (@taekie)
작성자는 IT 개발자가 저임금으로 업무를 외주 준 뒤 놀고 있다는 뉘앙스를 풍자하며, Claude Code가 tmux로 새 터미널을 열어 OpenAI Codex에게 작업을 시키는(모델 간/툴 기반 자동화) 상황을 언급해 AI 도구를 연결해 쓰는 실무적 워크플로우를 지적하고 있음.
right hand: vibe coding a new tool in gradio to download, convert , and output most streaming media podcasts video audio etc to txt so they can be sent straight into ollama for distillation / left hand : giving my 14 year old 4lb yorkie a neck massage in a triple fleeced blanket on my lap
#VibeCoding #Gradio #OpenSource #Ollama #LLMTools #MediaToText #WhisperAI #AIWorkflow #LocalAI #KnowledgeDistillation #Automation
🦸♂️ "Pre-commit lint checks" are apparently the kryptonite to your "vibe coding" superpowers. 🤔 But fear not, there's a "visual workflow builder with AI assistance" to rescue you from the perilous depths of actual coding! 🤖✨ Spoiler: It’s not code if you didn’t write it.
https://www.getseer.dev/blogs/pre-commit-linting-vibe-coding #PreCommitLint #AIWorkflow #VibeCoding #CodingHumor #HackerNews #ngated
Hello Flux!
Setup: 16 GB RAM, RX 6700 XT with 12 GB VRAM… actually way too little for Flux-Schnell. When loading the checkpoints, I immediately got a memory error. Solution: quickly set up a 32 GB swap file on the NVMe so that PyTorch and ComfyUI would have enough virtual memory.
Result: renderings now run stably, resolution 512×512 or 512×724, around 3 minutes per image. Upscaled with Real-ESRGAN.
#FluxSchnell #ComfyUI #AIGenerated #RealESRGAN #VFX #DigitalArt #GPU #SwapFileHack #AIWorkflow #Flux #DigitaleKunst #AIBildgenerierung #NerdSetup
Setup: 16 GB RAM, RX 6700 XT with 12 GB VRAM… actually way too little for Flux-Schnell. When loading the checkpoints, I immediately got a memory error. Solution: quickly set up a 32 GB swap file on the NVMe so that PyTorch and ComfyUI would have enough virtual memory.
Result: renderings now run stably, resolution 512×512 or 512×724, around 3 minutes per image. Upscaled with Real-ESRGAN.
#FluxSchnell #ComfyUI #AIGenerated #RealESRGAN #VFX #DigitalArt #GPU #SwapFileHack #AIWorkflow #Flux #DigitaleKunst #AIBildgenerierung #NerdSetup
Alex Finn (@AlexFinn)
Claude Code의 창작자 @bcherny가 전체 워크플로를 공개했다는 게시물입니다. 작성자는 해당 스레드를 분석해 가장 중요한 8단계를 선정했으며, 동영상을 통해 AI로 앱을 더 빠르게 개발하는 방법을 배울 수 있다고 소개하고 있습니다.
Phát hiện "bloat code" từ AI? Mình áp dụng phương pháp "Distill" 4 bước: (1) Ghi log chi tiết mọi nhánh code, (2) Dùng phản hồi đa mô hình (DOM + ảnh chụp màn hình), (3) Lặp 10 lần để tìm "Golden Path", (4) Cắt bỏ mọi phần không dùng sau khi có kết quả thành công. Biến code 100 dòng thành 40 dòng sạch như lập trình viên senior. Bạn có thấy AI sinh quá nhiều fallback vô ích? #AICoding #DistillMethod #LậpTrìnhAI #CodeGọn #AIWorkflow #PhátTriểnPhầnMềm
MCP Chat Studio v3 ra mắt với tính năng nâng cao: Studio Assistant hướng dẫn thông minh, chuyển đổi OpenAPI → MCP (JSON/YAML), chế độ Workspace linh hoạt, kiểm thử liên tục (CI Gates), và hỗ trợ Postman-style flow. Thêm tính năng mock server, bảo mật CSRF, audit logging và Workflow AI Builder xuất code Python/Node. Dành cho dev làm việc với MCP. Thử ngay tại repo!
#MCP #ChatStudio #OpenAPI #CI #DevTools #MCPChatStudio #LậpTrình #CôngCụLậpTrình #AIWorkflow #MockServer #Postman
https://www.reddi
Giselle - Build and run AI workflows. Open source | Product Hunt https://www.producthunt.com/products/giselle/launches/giselle
Một công cụ tạo quy trình AI trực quan dựa trên node, hoạt động hoàn toàn trong trình duyệt mà không cần máy chủ. Các kết nối API như Ollama được gọi trực tiếp từ browser. Dự án độc lập thú vị với engine thực thi ngay trên client. #SideProject #WebDevelopment #NodeEditor #AIWorkflow #CôngCụAI #PhátTriểnWeb
EmergentFlow - Công cụ tạo luồng AI trực quan, hỗ trợ Ollama bản địa ngay trong trình duyệt. Không cần máy chủ, chạy trực tiếp tab browser, kết nối Ollama localhost:11434. Hỗ trợ cả API đám mây (OpenAI, Anthropic...), agent duyệt web, RAG, kết nối CSDL và điều khiển phần cứng. Dùng thử miễn phí 50 credit qua Google Cloud API. Thử ngay tại emergentflow.io! #EmergentFlow #AIWorkflow #Ollama #VisualAI #TríTuệNhânTạo #CôngCụAI #LocalAI #NodeBased
This guide helps you build clean, sharp macro images in Gemini.
#GoogleGemini #AIWorkflow #AIPrompts
https://ai.thisgrandpablogs.com/miniature-man-coke-bottle/
Nỗ lực làm LLM dừng đúng lúc là thách thức lớn! Mô hình thường tiếp tục tạo ra kết quả hợp lý, dẫn đến quá trình kéo dài. Chỉ khi mọi thứ "vỡ lở", ta mới nhận ra đã đi quá xa. Làm sao để LLM tự biết điểm dừng? Có ai có giải pháp đáng tin cậy không?
#LLM #AI #AIPrompt #DeepLearning #LLMProblem #DừngLàKhó #TríTuệNhânTạo #MôHìnhNgônNgữ #AIworkflow
https://www.reddit.com/r/LocalLLaMA/comments/1pttexp/trying_to_make_an_llm_stop/
"Cách triển khai dễ dàng luồng công việc tăng cường hai lần/ngày (Antigravity) cho khách hàng cùng chạy tự động và bảo trì từ xa? [Reddit thảo luận #GoogleAntigravityIDE #SaaS] #Antigravity #AIWorkflow #PhanMềmSaaS #LuồngCôngViệcTựĐộng"
*(Note: Original Reddit post lacked sufficient technical content and context. It appears to be a promotional or non-substantive query, so the summary is minimal.)*
https://www.reddit.com/r/SaaS/comments/1pkpdkx/how_do_i_easily_deploy_a_twiceaday_agentic/
Tại sao quy trình AI của bạn thất bại 40% thời gian? Bài viết chỉ ra nguyên nhân và cách khắc phục để tối ưu hiệu suất AI! #AIWorkflow #QuyTrìnhAI #Productivity #HiệuQuả
https://www.reddit.com/r/SaaS/comments/1piyklz/why_your_ai_workflow_fails_40_of_the_time_and_how/
🚀 Ever wondered if AI can really handle your workload? I put that to the test. Over 14 days I used AI agents to replace 80% of my daily tasks — emails, scheduling, research, follow‑ups — and the results blew me away.
Check out the full story here 👉
https://docs.zoom.us/doc/4DRE-sPXTd64Ads2TTIwqg
#AI #AIAgents #Automation #WorkSmarter #DigitalTools #FutureOfWork #AIForBusiness #TimeManagement #Efficiency #TechInnovation #SmartWork #AIWorkflow #BusinessAutomation #TechTools #AITrends #WorkFromAnywhere #AIExperiments
With AI-powered automation services in Vancouver, MindsTek AI helps businesses leverage technologies like Google AI, Firebase ML, Flutter and TensorFlow Lite to deliver real-time, intelligent solutions. From image recognition to predictive analytics and automated workflows, they enable enterprises to streamline operations, improve efficiency and scale with confidence. https://mindstekai.com/robot-revolution/
#AIAutomation #BusinessAutomation #VancouverAI #SmartEnterprise #AIWorkflow
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst