5 novembre 2025
Getty won on double identity infringement and likelihood of confusion, but only for certain Stability legacy models. It failed on its reputation-based claim. It means Stability should be free to continue to supply its current models in the UK.
Here, we look at why Getty's trade mark infringement claims were only partially successful and what it could mean for future claims. For the background to the case and the allegedly infringing outputs, see here.
It was common ground that Getty's trade mark infringement claims had to be considered separately for each version of Stability's model. This was largely because "Models have not all been trained on the same dataset and different filters have been applied to the training data. Thus while one version of the Model may generate synthetic images which include the Sign, another version may not."
The judge found various reasons why certain versions of Stability's model did not infringe, including that:
Stability was not responsible for an earlier version of the model released on certain platforms.
Later versions of the model had never been shown by Getty to produce even one output containing a Getty watermark.
Some of the watermarked outputs generated by users 'in the wild' could not be linked to a specific version of the model.
At least one watermarked output was generated by a pre-release (beta) version of the model, which underwent substantial 'de-watermarking' prior to release.
This was all supported by other evidence before the court, which suggested that earlier versions of Stability's model had a greater propensity to produce watermarks, with filtering becoming more successful as time went on. It was also supported by Stability's admission (which it later tried to pull back on) that the incidence of watermarked outputs was 'non-trivial' for earlier versions of its model. The net result was that only legacy versions (v1.x and v2.x) potentially infringed, not later models (SD XL and v1.6).
Key learning: In most cases, it should be relatively easy for brand owners to show that the current version of a model infringes since there is unlikely to be filtering of the type seen in this case. Nonetheless, brand owners will need to be alert to potential arguments that only some - and not other - versions of a model infringe and will need to clearly link allegedly infringing outputs to specific model versions.
The judge also disregarded certain watermarked outputs on the basis that the prompts used to generate them were contrived and did not reflect real-world usage. Users of Stability's model would not copy Getty captions, use re-worded captions or derivatives of captions. They might use words such as 'vector art' and 'news photo' though – indeed, there was (limited) evidence that some users had.
Interestingly, however, the judge did not disregard certain watermarked outputs solely because it was not clear whether they had been generated in the UK, seeing "no difference… between users in the UK and elsewhere".
Key learnings: Brand owners must make sure that the prompts used to generate allegedly infringing outputs are realistic and have not been contrived to 'force' infringement. Specific evidence on the legitimacy of particular prompts might be needed. Real-world evidence of infringing outputs will obviously carry more weight. Whether non-UK outputs are probative would depend on the particular model versions used across the world.
The judge held that "Unlike the more usual case of trade mark infringement, it is impossible to conclude that for every watermark* generated by the same version of the Model, a similar analysis will apply such that infringement would follow automatically." For example, a watermark might be more or less garbled, impacting whether there is infringement.
Key learning: Unless it can be shown that the presentation/use of the allegedly infringing mark is fairly uniform on outputs, brand owners may have to argue infringement on an output-by-output basis. In other words, it might be difficult for the court to extrapolate infringement based on one or two examples. This weighs in favour of claimants not overly tying their infringement claims to a small number of representative infringements, which seemed to undo Getty here.
Stability eventually conceded that it had not pleaded a de minimis defence so the judge did not have to consider this issue. It was therefore agreed that Getty need only establish "on the balance of probabilities, that each version of the Model has generated at least one output with a watermark…" in the UK.
It is disappointing that a de minimis argument was not run, as this issue has been little considered by the UK courts (the Merck case being a notable exception). Key learning: Brand owners will need to consider de minimis-type arguments carefully where allegedly infringing outputs are rare. It could impact liability and/or remedies, but the paucity of case law on the point makes it difficult to predict that impact and the answer is likely to be fact-specific. Evidence of the probability of an infringing output (which the parties did not produce in this case) is likely to be important, assuming it can even be calculated.
The judge held that "It is impossible to identify when each Model will have generated an allegedly infringing watermark, and so I accept Getty Images’ case that the relevant dates for present purposes must assume infringement from the date of release of each Model."
All acts of infringement, irrespective of the particular section under which they arise, require 'use' of the mark by the claimant in the 'course of trade' 'in relation to' goods/services. The judge held that each of these preconditions for infringement was present:
Stability (and not end users) had 'affixed' the watermarks to the outputs and offered and put outputs on the market.
While users had some control over the outputs, Stability had the most control. Watermarks only appeared because of the training and making available of the particular model by Stability; users did not want the watermarks and did not prompt for them.
Since Stability runs a business in the UK and offers its model as part of that business, use was in the course of trade.
Use was 'in relation to' goods/services (ie origin-identifying use, as discussed here) – this is discussed below in the context of likelihood of confusion.
Key learnings: The decision builds on the body of case law on 'use' established in the intermediary liability and keyword advertising cases. While brand owners will be relieved that Stability (and not the end user) was deemed to have 'used' Getty's mark, it's unclear from the judgment whether the same would be true where the end user specifically prompts for a particular mark. Brand owners will need to consider this aspect of the ruling carefully.
By closing submissions, it was common ground that there were at least three categories of average consumer in this case, comprising those who use (a) the downloadable model, (b) the developer model and (c) the web-based model. The degree of technical skill would be graduated with (a) being the most technically savvy and (c) the least. Such consumers would pay a moderate and perhaps even high degree of attention.
Key learnings: Brand owners should take note that the average consumer might vary depending on how the particular AI model in question is accessed/used and the other facts of the case. This might, in turn, impact the assessment of infringement.
The judge held that the watermark on the left below was identical to Getty's word marks (even though there was some blurring), while the mark on the right below was not (because it contains an extra 'I' in images). There is no new law here – marks are identical if the differences are so insignificant that they may go unnoticed by the average consumer. However, this is an interesting application of the law.
| Identical | Not Identical |
|---|---|
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The judge held that Stability was using the watermarks on synthetic image outputs – a use identical to certain items in Getty's trade mark specifications (including digital imaging services, downloadable digital illustrations and graphics, and digital media). It meant that there was s.10(1) infringement for iStock watermarks but only those generated by earlier versions (v1.x) of the model.
Key learnings: Although it relates to legacy versions of Stability's model only, brand owners will be buoyed by the finding of direct infringement. It suggests that infringement could also be found for other AI trade mark uses (although Stability did not challenge the rebuttable presumption of confusion under s.10(1)). The judge's reasoning on the identity/similarity of goods/services might be useful for those drafting specifications in this area.
A likelihood of confusion was found for the iStock and Getty marks but - again - only for earlier versions of the model (v1.x for some and v2.1 for others). The marks were identical/similar, as were the goods/services, and the Getty marks had a high degree of distinctiveness.
The judge held that all three categories of consumer would consider the presence of watermarks on outputs to indicate some sort of commercial connection between Stability and Getty (perhaps a licence arrangement) and that consumers of the web-based version of the model (who are less technically savvy) might also assume that the outputs originate from Getty.
It is surprising that the judge found that, even those who understand how AI works, would (wrongly) assume that the watermarks indicate some sort of commercial connection between Getty and Stability. Reading between the lines, this might be the judge's way of addressing the fact that infringement cannot be avoided simply because consumers know that the data used to train AI models is largely unlicensed.
The judge also held that:
The renderings of the marks and fact that the photographer's names were blurred on the allegedly infringing outputs did not dispel a likelihood of confusion. However, "The more distorted, blurred or recognisably 'off' the image and/or the watermark* is, the more likely it is that the average consumer will realise that there can be no material link or connection of any kind with Getty Images."
The limited evidence of actual confusion in this case was not determinative as users would normally discard an unwanted image without contacting Getty and start again.
There was no post-sale confusion as it is not realistic and representative to suppose that users would show watermarked images to others – they would discard them and start again. In any event, post-sale confusion had not been pleaded.
Context of infringement was relevant although (reading between the lines) it did not impact the outcome of this case – in particular, the average consumer would not understand or remember that attempting to generate photo-realistic images was ‘out of scope’ of Stability's terms of use.
Key learnings: While there was no post-sale confusion here, that could be different in other AI cases. Where the output depicts eg a trade mark on a bag, instead of an unwanted watermark, there might be greater scope to argue that the user will show the output to others, post-generation. The judge's ruling on how context should be considered is long and merits separate consideration. AI developers will want to read this aspect of the ruling carefully, particularly the sections about what users are likely to have read and remembered – there are likely to be some learnings here. More generally, the judge's comment that a likelihood of confusion could be dispelled if the mark is really distorted is an interesting one and will divide opinion!
This claim completely failed: there was no detriment to distinctiveness (dilution), unfair advantage or tarnishment. Key findings included:
A "change in the economic behaviours of consumers" (or a serious likelihood of such a change) is required for unfair advantage as well as dilution.
Getty's arguments for a change in economic behaviour in the context of dilution were unsustainable. It was not reasonable to assume that consumers would try to avoid paying for Getty content by using captions copied from Getty's website to create an image on Stable Diffusion:. "..even assuming that a real life consumer were to take this step, … after all his effort, the crafty consumer seeking to avoid a license fee, ends up with what he was seeking to avoid: another watermarked* image … being almost certainly an imperfect and distorted facsimile of the original image."
Getty's argument in closing that the proliferation of watermarked outputs would cause dilution by weakening the ability of the marks to identify goods/services as originating from Getty failed – there were only a small number of watermarked outputs and Getty had not sought to run any case based on the probability of watermarked outputs. Despite Stability not running a de minimis defence, there was no basis on which to infer a 'proliferation' of watermarked outputs.
There was no evidence of the Getty marks appearing on NSFW or violent images in the real world to make out the tarnishment claim – the judge dismissed the relevance of the small number of watermarked Miley Cyrus images generated by Getty for the claim (which were potentially NSFW) as there was no evidence as to why Miley Cyrus's name was used in the prompts (the implication being that Getty intended to produce NSFW imagery).
Overall, while the judge understood that both NSFW/violent images and watermarked outputs could be produced, she was sceptical that they would occur on the same output in the real world and Getty had not run a case on probability.
While Getty had not pleaded a change in economic behaviour for 'unfair advantage', it did not matter since there was no such change or likelihood of it – Stability did not intend to take unfair advantage and this was not the objective effect.
Key learnings: The case shows how difficult it can be to make out one of the three specified types of injury, particularly showing a change in the economic behaviours of consumers. The lack of evidence as to the probability of watermarked outputs by Getty was particularly significant. The arguments on s.10(3) might be different for other types of trade mark use by AI, especially where there is no filtering such that there is more evidence of infringement and injury is arguably more likely to result.
Interestingly, there was no argument from Getty that consumers would use Stability's model to remove watermarks from images obtained on Getty's website so that those images were usable. While it is questionable whether a UK court would deem such de-branding as 'use', it would have been nice to see the point argued. Any de-branding (ie filtering) by Stability in the development phase would presumably not give rise to actionable damage even if it took place in the UK.
There are some interesting learnings from this case. However, there are also key differences between this case (an unintended watermark artefact) and other AI cases involving trade marks. We might see a different outcome in other scenarios, for example, where outputs show marks used on the wrong products, distorted marks, or where the AI 'fetches' a competitor's marks by mistake. We can expect to see more trade mark infringement claims around the world as the focus shifts from how AI is trained to how it is deployed.
We might also see an appeal on this case, perhaps on s.10(3)… although the fact that Stability is close to filtering out the majority of watermarks might weigh against an appeal. This is another way this case differs from other potential cases – AI developers might well be keen to filter out unintended watermarks, but they will be less keen to filter out other brands.
par Louise Popple