Bria FIBO 2vs.Stable Diffusion XL 1.0
Which one is better?
In our own test, Bria FIBO 2 leads. Neither is in the arena. Neither has an API price.
Test images
Same task, the first image of each. The task with the biggest difference is preselected.
Result for “Infographic”:Bria FIBO 2 ahead
What the rating looks at: Numbers, labels, and visual organization.
“Ahead”: better in all three rating rounds. “Slightly ahead”: a higher value, but not in every round.
Test protocol of the images
Each test attempt uses the same archived prompt and one request. The first output of that attempt counts. Repeats after technical test failures are disclosed for the affected images. Files are normalized to 1,024 × 1,024 pixels without cropping. Provider resolution, randomness, quality tier and prompt processing can still differ. The images are a practical visual test, not a reconstruction of the arena configuration.
Character and detail
Bria FIBO 2: fal, aspect ratio 1:1, n=1, seed=5555, Fal route default seed 5555; prompt-only VGL generation; approximately 1MP output, estimated cost $0.040000, generated Nov 1, 2026, 8:58 PM. Source
Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=268378870826470633; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native tokenizer truncation: tokenizer 80 to 77 tokens, tokenizer_2 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:07 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 985a75b38642a9f0e5e0c0e0c67f1b7f67780d42bd2168fa24e9a7a7a94b0da6
Bria FIBO 2 image SHA 256: 08e923a728a1475a6c461029900a5e97e808ad495c1910bdddca9f2665f23de9
Stable Diffusion XL 1.0 image SHA 256: 26d3c3d3e687614e24dd12191246bc1d96c1576d31f9211840a3e02b64d4d507
Infographic
Bria FIBO 2: fal, aspect ratio 1:1, n=1, seed=5555, Fal route default seed 5555; prompt-only VGL generation; approximately 1MP output, estimated cost $0.040000, generated Nov 1, 2026, 8:59 PM. Source
Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=5455008934753613262; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:08 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: ed65cb4e6a51e2336f8b149ad4cbb16e020f07d527ad94362e719d2dcf91d94f
Bria FIBO 2 image SHA 256: e0a777d79106a8eadf3666524478108f6f17282864c33737c1005121f62baa95
Stable Diffusion XL 1.0 image SHA 256: ebfe8d1c223478c94ff1973ab2600cd4f696b40b8c3388ca40f26f52c83afdb2
Product photography
Bria FIBO 2: fal, aspect ratio 1:1, n=1, seed=5555, Fal route default seed 5555; prompt-only VGL generation; approximately 1MP output, estimated cost $0.040000, generated Nov 1, 2026, 8:58 PM. Source
Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=490593220006868735; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE; native tokenizer truncation: tokenizer 80 to 77 tokens, tokenizer_2 80 to 77 tokens; archived input unchanged, generated Nov 2, 2026, 6:06 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: c67fd71e91304458a2feef5c91efa8677260fab0c0099a29a2c52cb579f5b2f3
Bria FIBO 2 image SHA 256: 5a8de701ae2cb8076dd6bb7106c0fec5c4c30c23c342ed3304a628d220d1f50c
Stable Diffusion XL 1.0 image SHA 256: f59af9c84f6fbb3e4ca34bf87ebb0f7c088e8caa520fa4cdf815a96d1bffda83
Typography and layout
Bria FIBO 2: fal, aspect ratio 1:1, n=1, seed=5555, Fal route default seed 5555; prompt-only VGL generation; approximately 1MP output, estimated cost $0.040000, generated Nov 1, 2026, 8:58 PM. Source
Stable Diffusion XL 1.0: manual, local PyTorch 2.13.0, Diffusers 0.36.0; stabilityai/stable-diffusion-xl-base-1.0@462165984030d82259a11f4367a4eed129e94a7b; native 1024x1024, 1:1; one request, first output; steps=50, guidance=5.0, seed=253938565953989943; mps for text encoder and denoising; cpu for native VAE decode; float16 for text encoder and transformer; float32 for VAE, generated Nov 2, 2026, 6:05 PM. Source
Protocol gradually-image-comparison-v1. Prompt SHA 256: 2e012c3d14ee5dd02203a94f394ca80a5038cdebd6032b25a8b8a221f2255419
Bria FIBO 2 image SHA 256: 2f9095a594104e147b3fe4991ed21bef67be104de646e7a4dfd6666b1f621855
Stable Diffusion XL 1.0 image SHA 256: c81e5d0d70afcb53fcffb51a0d548041fd0b33df300aed14b8ecd354aaaaec4e
The numbers at a glance
Bria FIBO 2
not in the arena
Stable Diffusion XL 1.0
not in the arena
Bria FIBO 2
Rank 22 of 108
Stable Diffusion XL 1.0
Rank 100 of 108
Bria FIBO 2
no API price
Stable Diffusion XL 1.0
no API price
Ranks among the 21 image models with an arena rating and the 108 with a GraduallyBench run; prices compared with 28 models with an API price.
Bria FIBO 2
- Subscription
- n/a No plan in Germany names exactly this model.
- Via API
- No API price known. Access: API.
- Weights
- unknown.
Stable Diffusion XL 1.0
- Subscription
- n/a No plan in Germany names exactly this model.
- Via API
- No API price known. Access: API, local.
- License
- Open weights.
Subscriptions only count plans that name exactly this model. Subscription prices include VAT, API prices are in dollars.
GraduallyBench from Nov 3, 2026 · Subscription database from Sep 29, 2026 (38 days old)
All data side by side
The better value is bold. For ratings only when the gap is clear.
| Kennzahl | Bria FIBO 2 | Stable Diffusion XL 1.0 |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | n/a | n/a |
| Arena rank | n/a | n/a |
| Arena votesmore votes, a safer rating | n/a | n/a |
| GraduallyBenchour own rating, 0 to 100 | 70 | 13 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 69 | 5 |
| Product photographyMaterials, reflections, and fine details | 84 | 13 |
| Character and detailAnatomy, clothing, and spatial consistency | 48 | 28 |
| InfographicNumbers, labels, and visual organization | 78 | 5 |
| API price | ||
| Per imagelower is better | n/a | n/a |
| 100 images | n/a | n/a |
| Profile | ||
| Released | n/a | n/a |
| Weightsopen means: runs locally | unknown | open |
| Lifecycle | no notice | Older open checkpoint; provider still lists it in its legacy model overview |
| Access | API | API, local |
| Parameters | not published | not published |
| Largest output | not consistently published | not consistently published |
| Plans in Germanynaming exactly this model | n/a | n/a |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Bria FIBO 2 model source (verified Nov 1, 2026) · Stable Diffusion XL 1.0 model source, status source (verified Nov 1, 2026)
Arena ratings by category
From blind votes on LMArena. “Ahead” means the lead is clear.
No shared arena score in the stored snapshot
The stored benchmark database contains no measurement for Bria FIBO 2 and Stable Diffusion XL 1.0 from the same arena and category. Older model versions are not used as substitutes.
More comparisons
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