Fibo 2.0 vs Qwen Image 2.1: tied on score, both non-commercial

Two 7B to 8B image models tie on the public leaderboards this week, and neither one lets you run your character's feed commercially without a separate deal. Fibo 2.0 from Bria sits at Elo 1088 on image editing and Qwen-Image 2.1 at 1081, with confidence intervals that overlap on both Artificial Analysis boards. Its weights are CC BY-NC 4.0 (model card); Qwen's are under a research license (license text). If you run an AI influencer, the license row decides before the score does.

We have already put Krea 2 against Qwen-Image 2.1 and MOSS-Image against both. Fibo 2.0 is the new name people now type next to Qwen, so this is the same test for the same reader: what each takes as a reference, what it costs in disk, how it runs in ComfyUI and what the terms allow.

The verdict first

• Choose Qwen-Image 2.1 to explore a look and lock a face from up to 10 reference images, if the output stays inside research or evaluation. It has the larger ComfyUI install base by a wide margin.
• Choose Fibo 2.0 if you want a 4-step Edit Turbo and structured prompts you can change field by field. Its terms are the same wall: non-commercial unless Bria agrees otherwise.
• Choose neither for a monetized account unless you have the commercial license in writing. MOSS-Image ships Apache-2.0 weights, and Krea 2 is free for commercial use under a revenue cap; our three-way comparison has the details.
• Nobody has measured face similarity for Fibo 2.0 against Qwen. Anything that says one holds a face better is a claim from a vendor or a tester with a handful of renders.

Side by side

The score is a tie, so read the intervals

On the text-to-image board Qwen-Image 2.1 reads 1042 (interval 1030 to 1054) and Fibo 2.0 1039 (1027 to 1051). On the editing board it flips: Fibo 2.0 at 1088 (1074 to 1102) and Qwen at 1081 (1068 to 1094). Every pair of intervals overlaps for most of its length, so the honest reading is a tie in both arenas. ComfyUI Wiki's report of the October 20 snapshot calls Fibo first among open-weights editors; that is true by 7 points inside intervals about 28 wide, and nothing more.

For context, the same text-to-image board lists FLUX 3 Image Klein at 1043, rank 21, as the open-weights leader. Elo is also a preference vote on generic prompts, not a measure of whether the same woman appears in image 40 as in image 1.

Keeping the same face: 10 references against 4

Qwen-Image 2.1's card says it supports up to 10 reference images and can preserve identity for people and products, and shows a group photo generated from six portrait references. It gives no similarity numbers. Fibo 2.0's card describes edits that keep identity, layout, lighting and fine detail, with multi-reference editing for up to 4 images. It, too, comes with showcase examples and no measurement.

So the paper difference is 10 against 4 reference slots, and Fibo has a 4-step Edit Turbo that makes a loop of small changes cheap. The practical difference is smaller: for a character you post daily you still want the pipeline in our consistent character guide, a fixed reference set, and a trained LoRA once the face has to survive new poses. One Fibo commenter on the Comfy-Org repack said their LoRAs work well on the Dev model with a Turbo LoRA at CFG 3 to 5; that is one person's report, not a benchmark.

Musetta studioDemo data

The license is the same wall, built differently

Fibo 2.0's card says the weights are "open source for non commercial use only" and that commercial use requires an agreement with Bria. The Comfy-Org repack page repeats CC BY-NC 4.0 and the same requirement. Both official repositories are gated: you accept Bria's terms before downloading (ComfyUI Wiki).

huggingface.coOpen the page

Qwen's license defines Non-Commercial as "for research or evaluation purposes only" and section 2.b bars any commercial purpose without a separate commercial license. The Qwen license does mention outputs in other clauses, but neither text, as we read them, says whether you may post a picture you generate locally to a paid account. We are not lawyers, so if the output pays your rent, ask both companies for the answer in writing.

huggingface.coOpen the page

Fibo has one route Qwen's open weights do not advertise. ComfyUI's Bria partner nodes call Bria's hosted API, bill each run, and the page describes the model as trained on licensed data with provenance suitable for commercial work. That is the vendor's description of the hosted path, not a legal opinion on yours; the Artificial Analysis listing puts the hosted price at $32 per 1,000 images. It also means a Fibo workflow built from those nodes does not run on your own machine, which is the opposite of what the open weights are for.

Running them in ComfyUI

Qwen-Image 2.1's repack lists text encoder variants from 6.3 GB to 17.5 GB, so check which one your workflow loads before you count disk; our model download size study shows why the encoder is often half of the total. If a template stops on a missing node after an update, the missing-nodes guide is the first stop.

When each one wins, and loses

Where Musetta fits

Musetta runs on your own ComfyUI, installs the nodes and models a workflow is missing, and keeps each character's reference photos, so trying a second base model is a test, not a rebuild. It changes none of the licenses above. See how it compares with building the graphs yourself.