SMF·KREA
Can a prompt replace Krea?
AI image generation — AI image and video generation
Exhibit tracking slip
Verdict
A local ComfyUI job queue with a prompt library and searchable output history reproduces the batch-generation half of Krea reasonably well as a one-sitting build. What it explicitly cannot reproduce is Krea's actual signature feature: a real-time diffusion loop that updates the image live as you draw or adjust a prompt, which needs a specialized low-latency inference pipeline no standard local ComfyUI setup provides.
Exhibit A — The prompt
Received on31.07.2026Build a local batch image-generation manager: a prompt library and job queue in front of a self-hosted ComfyUI instance. Stack: Python, FastAPI, ComfyUI as the local generation backend, a small React frontend. Do not attempt real-time generation — a submit-and-wait batch loop is the honest, buildable scope here.
Core loop: the user writes a prompt with a negative prompt, seed, dimensions, and a chosen ComfyUI workflow, and submits it to a local job queue that runs against the ComfyUI server one job at a time (or a few in parallel if the GPU has the memory). Every completed output is saved with a sidecar JSON recording its exact generation parameters, so any result can be regenerated identically. A searchable contact sheet supports favoriting, tagging, and quick re-runs with tweaked parameters — the closest approximation to iteration this architecture allows, a few seconds to a minute per attempt rather than instant feedback.
This needs ComfyUI installed and running locally with a capable GPU, or pointed at a rented remote GPU box. No cloud API key is required if the user supplies their own model files with an appropriate license.
Do not build: a real-time, low-latency generation loop (this needs specialized inference engineering — streaming diffusion, aggressive step reduction — well beyond wiring up standard ComfyUI, and claiming otherwise would be dishonest about what this architecture can do), video generation, or a hosted service for others to use. State plainly in the README that iteration here means resubmitting a job and waiting, not watching an image update live.Opening prefills the prompt — press enter to run it.
Exhibit B — What you lose
- B.1 real-time generation that updates the image live as you draw or adjust settings
- B.2 a specialized low-latency inference pipeline built specifically for that live loop
- B.3 hosted GPU capacity, so batch jobs don't queue behind your own hardware
- B.4 a licensed, curated training dataset behind the model
- B.5 video generation alongside image generation in the same interface
Prior art
Exhibit C — Why people still pay: frontier models, compute, and data
People pay for Krea because the live, draw-and-see-it-update loop needs an inference pipeline engineered specifically for low latency at every keystroke — that's genuinely different infrastructure from a standard batch-oriented ComfyUI setup, not just a faster GPU. The subscription buys that real-time engineering, not the underlying model itself.
Questions
Can I import my existing Krea projects?
No — Krea's project and generation history live on their servers and aren't exportable in a form this build can read. You'd start a fresh prompt library from your first local batch run.
Will it work on my phone?
Only as a client to a machine running ComfyUI elsewhere — the generation itself needs a GPU, so you're queuing and browsing jobs from a phone, not rendering on it.
What does it cost to run?
Nothing per generation if you own the GPU, aside from electricity. A rented cloud GPU instead runs roughly $0.50–$2 per hour, billed only while a job is actually processing.
What's the one thing that doesn't survive the rebuild?
The live loop itself. Krea's actual product is watching the image change in real time as you draw or type — that immediate feedback is what makes iteration fast; here, every change means resubmitting a job and waiting for it to finish, which changes how you'd actually work with it.
Related tools
Receipt