Primary use stated or inferred cautiously from official documentation.
S
STABILITY AI / sd3.5-large
Stable Diffusion 3.5 Large
8B-parameter image base model for generation and editing, available via API and for self-deployment under a Stability license.
01 / SUMMARY
The essential
Maximum input capacity when published by the source.
Documented maximum generation limit.
Verified availability channels.
Primary functional family and verified specialties.
Declared terms for API access, model weights, or self-hosting.
02 / TECHNICAL SHEET
Limits and integration
| API ID | sd3.5-large |
|---|---|
| Model type | Image |
| Access model | API and open weights |
| License | Stability AI Community License |
| Deployment | API or self-hosted depending on license |
| Release | 22 OCT 2024 |
| Knowledge cutoff | Not published |
| Entrance | Text · Image |
| Exit | Image |
| Context window | Prompt of up to 10,000 characters |
| maximum output | 1 MP image in API |
| Reasoning | Not applicable or not published |
| Published tools | |
| Structured Outings | Not applicable or not published |
| Batch processing | Not published |
| Prompt cache | Not published |
| Fine-tuning | Weights available |
| Verified platforms | Stability API · Hugging Face |
Image generation and editing with deployment control.
The license has commercial-use conditions; review revenue, distribution, and derivative model terms.
03 / CAPABILITIES
What it can do
Orientation
Image generation and editing with deployment control.
Context
Prompt of up to 10,000 characters · 1 MP image in API
Tools and integration
Not published
Access
Stability API and weights
Input modalities
TextImage
04 / PRICES
Documented cost
| Concept | Worth | Unit/condition |
|---|---|---|
| Standard input | 6.5 credits per generation | Standard API rate |
| Cached input | Not published | Reading reused prefixes |
| Cache write or storage | Not published | The condition varies by provider |
| Standard output | Not published | May include reasoning tokens |
| Batch input | Not published | Asynchronous processing |
| Batch output | Not published | Asynchronous processing |
Consult the primary source: the billing unit depends on the model type and access channel.
i Prices change and may depend on level, region or context length. Check the source before making a decision.
05 / EVALUATIONS
How to read the results
“
A public benchmark provides guidance, but does not replace an evaluation with your data, tools, budget, and error tolerance.
| Benchmark | Result | Metric | Source |
|---|---|---|---|
| Evaluación SD 3.5 Large | Main base model | Quality and prompt adherence | View source ↗ |
Inferama only highlights a “best result” when the metric, test set, configuration, and date allow for an equivalent comparison. The supplier's figures are presented as claims from its own source.
06 / VERSIONS
Chronology
Stable Diffusion 3.5 Large
Version added to Inferama's verified catalog.
ANALYSIS
Related analysis
Stable Diffusion 3.5 Large put to the test: how to measure prompt following
A reproducible protocol for evaluating whether SD 3.5 Large follows specific visual instructions, comparing its results with Medium without confusing configuration differences, and reporting the limits of the evidence.
29 Sep 2026 ↗
Localized AI image editing: how to verify that the model changes only what was requested and preserves the rest of the asset
A generative edit that is useful in production is not validated merely because the requested change looks correct. This guide proposes treating every retouch as a preservation contract: define what may change, what must remain, how to measure it, and when to require human review.
23 Sep 2026 ↗07 / SOURCES