Muse Imagevs.Stable Diffusion XL 1.0
Which one is better?
In our own test, Muse Image leads. Stable Diffusion XL 1.0 has no arena rating yet. Stable Diffusion XL 1.0 has no API price.
Test images
Same task, the first image of each. The task with the biggest difference is preselected.
Result for “Infographic”:Muse Image 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
Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:48 AM. 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
Muse Image image SHA 256: 356427fe1ec15a444aae4eab2194344c7fe6b17ef205a8db16c1d64dbacb750e
Stable Diffusion XL 1.0 image SHA 256: 26d3c3d3e687614e24dd12191246bc1d96c1576d31f9211840a3e02b64d4d507
Infographic
Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:49 AM. 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
Muse Image image SHA 256: c8b096001990f57cb5225f6387485b391a4a5e3c3031e7b0524a4c19e1e01bc8
Stable Diffusion XL 1.0 image SHA 256: ebfe8d1c223478c94ff1973ab2600cd4f696b40b8c3388ca40f26f52c83afdb2
Product photography
Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:48 AM. 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
Muse Image image SHA 256: 0cb5d4c3dbe33c840ba87f0e8af255deec9e7e02eb6c7f172310af433e78fdb6
Stable Diffusion XL 1.0 image SHA 256: f59af9c84f6fbb3e4ca34bf87ebb0f7c088e8caa520fa4cdf815a96d1bffda83
Typography and layout
Muse Image: fal, aspect ratio 1:1, n=1, seed=provider random, estimated cost $0.010000, source 1600x1600, stored 1024x1024 (Lanczos3 downscale), generated Nov 1, 2026, 8:48 AM. 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
Muse Image image SHA 256: b8232890082d6bdd72dd7be99d98a573566a2c62f94597ecdda2bd9110e2e143
Stable Diffusion XL 1.0 image SHA 256: c81e5d0d70afcb53fcffb51a0d548041fd0b33df300aed14b8ecd354aaaaec4e
The numbers at a glance
Muse Image
Rank 7 of 21
Stable Diffusion XL 1.0
not in the arena
Muse Image
Rank 4 of 108
Stable Diffusion XL 1.0
Rank 100 of 108
Muse Image
cheap
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.
Muse Image
- Subscription
- Free to use at Meta (Meta AI Free). Through other providers from ≈ €9.54 a month (Krea Basic, with limited credits). 6 plans in Germany.
- Via API
- $0.01 per image, 100 images $1.
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.
Arena rating (LMArena) from Nov 6, 2026 · GraduallyBench from Nov 3, 2026 · API prices from Nov 6, 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 | Muse Image | Stable Diffusion XL 1.0 |
|---|---|---|
| Ratings | ||
| Arena ratingfrom votes by users, higher is better | 1,268 | n/a |
| Arena rank | Rank 7 of 21 | n/a |
| Arena votesmore votes, a safer rating | 57,568 | n/a |
| GraduallyBenchour own rating, 0 to 100 | 78 | 13 |
| GraduallyBench by task | ||
| Typography and layoutLegible text, hierarchy, and composition | 86 | 5 |
| Product photographyMaterials, reflections, and fine details | 81 | 13 |
| Character and detailAnatomy, clothing, and spatial consistency | 61 | 28 |
| InfographicNumbers, labels, and visual organization | 86 | 5 |
| API price | ||
| Per imagelower is better | $0.01 | n/a |
| 100 images | $1 | n/a |
| Profile | ||
| Released | Jul 7, 2026 | n/a |
| Weightsopen means: runs locally | proprietary | open |
| Lifecycle | no notice | Older open checkpoint; provider still lists it in its legacy model overview |
| Access | API, Web app | API, local |
| Parameters | not published | not published |
| Largest output | not consistently published | not consistently published |
| Plans in Germanynaming exactly this model | 6 | n/a |
API prices for one image at 1,024 × 1,024 pixels according to Artificial Analysis.
Sources: Muse Image model source (verified Sep 26, 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 Muse Image and Stable Diffusion XL 1.0 from the same arena and category. Older model versions are not used as substitutes.
More comparisons
Compare Muse Image and Stable Diffusion XL 1.0 with the models people compare them with most often.