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Is ComfyUI With a Local LoRA Better Than a Hosted AI Character Studio?

By Marcus, AI generation expert at OFMAI · Updated

It is better on exactly one axis: control. If you need weights you keep as a file, offline runs on your own GPU and no cost per image, ComfyUI with a local LoRA is the better route. If you need one character that stays the same person across hundreds of photos and short clips, starting this week, a hosted AI character studio such as OFMAI is better: it builds a character from 3 reference photos with no training, ready in minutes, then reuses it in every photo, video, voice note and image edit with the same look, body and morphology.

The rest is a trade of hours for credits: the local route spends its time up front, the hosted route 2 credits a photo. Here are the numbers, and the cases where staying local is right.

AI-generated photo: indoor dark wooden wall, dramatic side lighting, medium shot
AI-generated photo: selfie in a white brick studio with a clothing rack and art, low angle

What does the local ComfyUI route actually involve?

A stack you assemble and keep working: ComfyUI, a base checkpoint, then whatever holds the identity - a reference-image adapter, or a LoRA you train. RunComfy's consistent-character workflow page lists six variants of one such adapter, the stronger ones needing a heavier image encoder, and has you tune weight and noise by hand; the reference is centre-cropped to 224x224, so an off-centre subject gives a poor result (read 2 November 2026).

The LoRA branch wants a dataset: 15 to 30 images for an SDXL-based model, 30 to 100 for a newer DiT-based one, and 15 to 30 minutes of training for the first, over an hour for the second (diyai.io, 23 October 2026). If the character does not exist yet, you first have to generate those images of someone who keeps changing - the problem the LoRA was meant to solve.

What does a hosted AI character studio do differently?

It stores a character instead of training one. On OFMAI you build it from 3 of your own reference photos - a portrait, a front view and a back view - with no training step, ready in minutes, or design it from a text description. That character is reused in every generation, so the same look, body and morphology carry across photos, short videos, voice notes and image edits, in the browser: no GPU, no install, no checkpoint.

The bill is credits: 12 for a character - 6 for the candidate portraits, 6 to confirm your pick and generate the front and back views - then 2 a photo, 2 an edit, from 7 a short video and 25 for five seconds at 1080p.

Which route keeps a character more consistent?

A well-trained LoRA on a clean dataset is the strongest identity anchor you can hold locally, and the most permanent: once the file is on disk it never drifts and costs nothing to reuse. A reference-image adapter is weaker, because it steers one generation rather than storing anyone - the reference goes in again on every prompt, and a 224x224 centre crop loses whatever sat outside it (RunComfy, read 2 November 2026).

OFMAI sits in a third place: the character is created once and every generation runs against it, so consistency depends on neither a dataset nor a re-supplied reference.

What does each route cost in money?

Locally, hardware. A low-VRAM optimisation guide of 21 July 2026 puts SDXL at 1024x1024 at roughly 8 GB of VRAM, a checkpoint at about 6.5 GB on disk and each extra ControlNet at 2 to 3 GB more; the low-VRAM flag costs 20 to 40 per cent of throughput (eastondev.com). Renting has a rate card: on RunComfy a 16 GB ComfyUI machine is $0.99 an hour pay-as-you-go, a 24 GB machine $1.75 and a training GPU $4.49, billed by the second (read 2 November 2026).

On OFMAI, a subscription: from $9.99 a month for 30 credits - about 15 photos, roughly $0.67 each - up to $149.99 for 1000 credits. Annual billing saves 25 per cent and purchased top-up credits never expire. The crossover is volume: once your hardware is paid for, a local image costs electricity.

How much maintenance does each route need?

The local route is a software project you own. Node packs share one Python environment, so they collide: a ComfyUI issue reports conflicting huggingface_hub versions stopping a node pack from loading, and asks whether nodes should get their own virtual environments (Comfy-Org/ComfyUI issue #7055, read 2 November 2026). A 2026 custom-node guide prescribes the remedy - pin node and package versions, freeze the environment (runflow.io, read 2 November 2026).

A hosted studio moves that off your desk: nothing to install, re-pin or survive an update. The price is the mirror risk - you do not choose when the product changes, and you cannot run it offline.

How fast is each route to a first usable photo?

Locally, hours to days: install and downloads, the dataset, 15 to 30 minutes of training for an SDXL adapter or over an hour for a DiT one (diyai.io, 23 October 2026), then the tuning passes. Generation is slow on a small card - in the 21 July 2026 low-VRAM tests a 6 GB GPU produced about one second of 480p video in roughly five minutes (eastondev.com). On OFMAI it is minutes: three photos or a description, and the first photo costs 2 credits. The local route is cheaper per image and far more expensive per week.

When is ComfyUI with a local LoRA the better choice?

When ownership or control matters more than output. Four cases: you need weights you can keep, inspect and run offline with no platform in the loop; what you are training is a style or an outfit family rather than one person; you already hold a large, clean archive of the same subject; or you generate at a volume where credits would outrun a GPU you own. OFMAI is not a local model or a downloadable checkpoint, so if full offline control is the requirement, running ComfyUI or Forge locally is the honest answer, with the GPU and the updates yours to manage.

When is a hosted studio the better choice?

When the character does not exist yet, when you need more than photos, and when your week costs more than your per-image price. An invented persona has no dataset to train on, and a description is enough on OFMAI; a persona that needs photos, short videos and voice notes of the same person needs them in one place; an operator running several personas needs a plan, and 1000 credits a month at $149.99 covers a roster.

It is the wrong tool for some jobs: OFMAI is not a CRM or fan-messaging tool, not a scheduler or publishing hub, and not a stock-photo or general design tool. It is also not for depicting a real person without consent.

The two routes side by side

  • Setup - local: ComfyUI, a checkpoint, an adapter or a trained LoRA, an image encoder, then weight and noise by hand (RunComfy, read 2 November 2026). OFMAI: open a browser.
  • Reference material - local LoRA: 15 to 30 images for an SDXL-based model, 30 to 100 for a DiT-based one (diyai.io, 23 October 2026). OFMAI: 3 photos, or none with a description.
  • Hardware - local: about 8 GB of VRAM for SDXL at 1024x1024 (eastondev.com, 21 July 2026), or $1.75 an hour rented (RunComfy, read 2 November 2026). OFMAI: none.
  • Cost per output - local: electricity, once the hardware is paid for. OFMAI: 2 credits a photo, from 7 a clip, 25 for five seconds at 1080p.
  • Time to a first photo - local: hours to days, training included. OFMAI: minutes, for 12 credits.
  • Maintenance - local: pin every node and package version (ComfyUI issue #7055, read 2 November 2026). OFMAI: nothing to update.
  • Ownership - local: a file you run offline forever. OFMAI: photos, short video and voice of one character in one place.

OFMAI in numbers

creators signed up
10,000+
photos and videos generated
61,000+
videos generated
9,000+

Frequently asked questions

Is ComfyUI with a local LoRA better than a hosted AI character studio?

It is better when control is what you want: weights you own, offline runs, custom node graphs and near-zero cost per image on hardware you already have. It is worse when output is what you want, because it asks for 15 to 30 training images for an SDXL-based model or 30 to 100 for a DiT-based one (diyai.io, 23 October 2026), a GPU, a training run and ongoing maintenance. OFMAI builds a character from 3 reference photos with no training, in minutes, for 12 credits, then reuses it across photos, video and voice.

Do I need to train a LoRA to keep an AI character consistent?

No. A trained LoRA is one way, and a strong one. A reference-image adapter is weaker, since it steers a single generation and the reference must be supplied again each time. OFMAI is a third way: the character is created once and reused in every generation, so the same look, body and morphology carry across scenes, outfits and angles.

What hardware do I need to run ComfyUI with a character LoRA?

Plan for roughly 8 GB of VRAM for SDXL at 1024x1024, about 6.5 GB of disk per checkpoint and 2 to 3 GB more per extra ControlNet (eastondev.com, 21 July 2026). Renting is the alternative: a 24 GB cloud ComfyUI machine is $1.75 an hour pay-as-you-go on RunComfy (read 2 November 2026). OFMAI needs no GPU.

How many photos does each route need?

A LoRA wants 15 to 30 images for an SDXL-based model and 30 to 100 for a DiT-based one (diyai.io, 23 October 2026). An adapter wants one per generation, square and centred, since the encoder centre-crops it to 224x224 (RunComfy, read 2 November 2026). OFMAI wants 3, or none if the character is designed from a description.

Is it cheaper to run ComfyUI locally or to pay per credit?

Locally, at volume, once the hardware exists: an image then costs electricity. Per credit below that: OFMAI starts at $9.99 a month for 30 credits, about 15 photos or roughly $0.67 each, against $1.75 an hour for a rented 24 GB ComfyUI machine (RunComfy, read 2 November 2026).

Can I use a hosted studio and ComfyUI together?

Yes. Generations on OFMAI are exported, so a studio character can supply the consistent source images a local pipeline then post-processes with the graphs and custom passes you want in your own hands.

Can I download the model or run OFMAI locally?

No. OFMAI is a hosted web app, not a local model or a downloadable checkpoint, which is why there is no GPU, no install and no model setup. If offline control is a requirement, stay on a local stack such as ComfyUI or Forge.

Related: AI character generator · How many reference photos you need · Keep a character's body consistent · Build a character from your own photos · OFMAI pricing

OFMAI generates synthetic imagery. Uploading photos or cloning the voice of a real person requires that person's explicit consent, enforced by automated and human moderation. Disclose AI-generated content wherever the platform you publish on or applicable law requires it.

Three photos instead of a dataset

Upload a portrait, a front view and a back view, or write a description instead, and the character is ready in minutes - no GPU, no checkpoint, no training run. Every photo, clip and voice note afterwards is the same person. Plans from $9.99 a month.