SAVRN Model Hub · Comparisons
animagine-xl-4.0 vs stable-diffusion-xl-base-1.0
Animagine-xl-4.0 has 2.6B parameters and stable-diffusion-xl-base-1.0 has 2.6B parameters; both are released under Open RAIL++ License; at 16-bit, animagine-xl-4.0 needs about 6.2 GB (1x MI300X from $1.85 an hour) and stable-diffusion-xl-base-1.0 about 6.2 GB (1x MI300X from $1.85 an hour).
| Field | animagine-xl-4.0 cagliostrolab/animagine-xl-4.0 | stable-diffusion-xl-base-1.0 stabilityai/stable-diffusion-xl-base-1.0 |
|---|---|---|
| Publisher | Cagliostro Labs | Stability AI |
| Task | Text to image | Text to image |
| Modality | Image | Image |
| Parameters, as reported | 2.6B parameters | 2.6B parameters |
| Architecture | Not stated | Not stated |
| Library | diffusers | diffusers |
| Context length | Not stated | Not stated |
| Repository size | 20.8 GB | 76.9 GB |
| Artifact formats | safetensors | safetensors, onnx |
| License | openrail++ | openrail++ |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 6.2 GB | 6.2 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 1.5 GB | 1.5 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 2b7c1b397761 | 462165984030 |
| Downloads reported by the hub | 349.5k | 2.9M |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
SAVRN's Notes on animagine-xl-4.0
The download is bigger than the model. Cagliostro Labs ships 22 files totaling 20.8 GB, yet the 2.6B parameters you actually serve take 5.1 GB at 16-bit and need 6.2 GB of memory in use. This anime-styled text-to-image model was retrained from Stable Diffusion XL 1.0 on 8.4M images, and it fits on one 192 GB MI300X at $1.85 per hour on-demand with most of the card left idle. At 8-bit memory drops to 3.1 GB, so one card can hold many parallel workers.
Open RAIL++ is where a buyer should slow down. Commercial use is permitted but conditional on use-based restrictions, and those restrictions must be passed to your own downstream users, so the terms travel with every product built on it. Also note the lineage: the file lists it as derived from stabilityai/stable-diffusion-xl-base-1.0, the knowledge cutoff is January 7, 2025, and the last update was February 13, 2025.
SAVRN's Notes on stable-diffusion-xl-base-1.0
The repository is 76.9 GB across 57 files; the run is 6.2 GB. One 16-bit copy of this 2.6B-parameter text-to-image model is 5.1 GB of weights, 4-bit needs 1.5 GB, and the page's 63.8 GB of weight files in safetensors and onnx hold far more than either, so pull only the format you serve. One MI300X at $1.85 an hour on-demand is the cheapest listing on our Index that fits, and this fills one thirtieth of its 192 GB.
Open RAIL++ permits commercial use but carries use-based restrictions that pass to your downstream users, so they belong in your own terms if you sell images; nothing is gated. Stability AI pairs this base with a separate refiner model for the final denoising steps and says the base runs standalone; decide which you are deploying, since the refiner is a second download and footprint. The files last moved 2023-10-30.
Questions
Which is larger, animagine-xl-4.0 or stable-diffusion-xl-base-1.0?
animagine-xl-4.0 (2.6B parameters) is larger than stable-diffusion-xl-base-1.0 (2.6B parameters), by the parameter counts their publishers report.
Which is cheaper to run, animagine-xl-4.0 or stable-diffusion-xl-base-1.0?
At 4-bit, animagine-xl-4.0 fits on 1x MI300X from $1.85 an hour and stable-diffusion-xl-base-1.0 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use animagine-xl-4.0 commercially?
Yes, with conditions. animagine-xl-4.0 is released under Open RAIL++ License. Open RAIL++ permits use, including commercial use, subject to the use-based restrictions listed in the license, which must be passed on to downstream users.
Can I use stable-diffusion-xl-base-1.0 commercially?
Yes, with conditions. stable-diffusion-xl-base-1.0 is released under Open RAIL++ License. Open RAIL++ permits use, including commercial use, subject to the use-based restrictions listed in the license, which must be passed on to downstream users.