Andersen v. Stability AI Ltd.

District Court, N.D. California·Decided October 30, 2023·No. 3:23-cv-00201·Unknown

Opinion

SARAH ANDERSEN, et al., Case No. 23-cv-00201-WHO

Plaintiffs, ORDER ON MOTIONS TO DISMISS v. AND STRIKE

STABILITY AI LTD., et al., Re: Dkt. Nos. 49, 50, 51, 52, 58 Defendants.

Artists Sarah Anderson, Kelly McKernan, and Karla Ortiz filed this putative class action on behalf of themselves and other artists to challenge the defendants’ creation or use of Stable Diffusion, an artificial intelligence (“AI”) software product. Plaintiffs allege that Stable Diffusion was “trained” on plaintiffs’ works of art to be able to produce Output Images “in the style” of particular artists. See generally Compl., Dkt. No.1. The three sets of defendants ((i) Stability AI Ltd. and Stability AI, Inc. (“Stability”); (ii) DeviantArt, Inc.; and (iii) Midjourney, Inc.) have each filed separate motions to dismiss and DeviantArt has filed a special motion to strike under California Code of Civil Procedure section 425.16. Finding that the Complaint is defective in numerous respects, I largely GRANT defendants’ motions to dismiss and defer the special motion to strike. Plaintiffs are given leave to amend to provide clarity regarding their theories of how each defendant separately violated their copyrights, removed or altered their copyright management information, or violated their rights of publicity and plausible facts in support. Plaintiffs allege that Stability created and released in August 2022 a “general-purpose” software program called Stable Diffusion under a “permission open-source license.” Compl. ¶¶ 1, 33, 52, 53. Stability is alleged to have “downloaded of otherwise acquired copies of billions of Id. ¶¶ 2, 3, 25-26. Over five billion images were scraped (and thereby copied) from the internet for training purposes for Stable Diffusion through the services of an organization (LAION, Large- Scale Artificial Intelligence Open Network) paid by Stability. Id. ¶¶ 57, 101, 104; see also id. ¶¶ 2, 25 (defining “Training Images”). Stability’s founder and CEO “publicly acknowledged the importance of using licensed training images, saying that future versions of Stable Diffusion would be based on ‘fully licensed’ training images. But for the current version, he took no steps to obtain or negotiate suitable licenses.” Id. ¶ 106. Stable Diffusion is alleged to be a “software library” providing “image-generating services” to products produced and maintained by the defendants including “DreamStudio, DreamUp, and on information and belief, the Midjourney Product.” Id. ¶¶ 23, 50, 65. Consumers use these products by entering text prompts into the programs to create images “in the style” of artists. The new images are created “through a mathematical process” that are based entirely on the training images and are “derivative” of the training images. Id. ¶¶ 4, 5, 24. Plaintiffs admit that “[i]n general, none of the Stable Diffusion output images provided in response to a particular Text Prompt is likely to be a close match for any specific image in training data. This stands to reason: the use of conditioning data to interpolate multiple latent images means that the resulting hybrid image will not look exactly like any of the Training Images that have been copied into these latent images.” Id. ¶ 93. Plaintiffs also allege that “[e]very output image from the system is derived exclusive from the latent images, which are copies of copyrighted images. For these reasons, every hybrid image is necessarily a derivative work.” Id. ¶ 95. DreamStudio is Stability’s product, also released in August 2002; it functions as an “user interface” accessing “a trained version of Stable Diffusion.” Id. ¶¶ 33, 55. Use of DreamStudio is billed in packages of credits that can be used to create images. Id. ¶ 56. Defendant DeviantArt was founded in 2000 and has primarily been known as an “online community” where digital artists post and share their work. Id. ¶¶ 35, 62. 114. Deviant Art released its “DreamUp” product in November 2022. Id. ¶ 64. DreamUp is a commercial product that relies on Stable Diffusion to produce images and is only available to customers who pay into Stable Diffusion for training images (the “aesthetic dataset”) was procured by scraping primarily 100 websites, including DeviantArt’s site. Id. ¶¶ 109, 110. As a result, plaintiffs allege that Stability copied thousands and possible millions of training images from DeviantArt created by artists and other DeviantArt subscribers without licensing their works of art. Id. ¶¶ 116-117. By incorporating DreamUp and therefore Stable Diffusion into its website, plaintiffs allege that DeviantArt is violating its own terms of service against using content for “commercial” purposes and without consent, as well as its privacy policy. This conduct, according to plaintiffs, represents “unfair competition against” DeviantArt’s artist customers. Id. ¶¶ 123, 124. Defendant Midjourney, based in San Francisco, created and distributes the “Midjourney Product.” Id. ¶¶ 34, 134. The Midjourney Product was launched in beta form in July 2022, and is alleged to be a commercial product that produces images in response to text prompts in the same manner as DreamStudio and DreamUp. Plaintiffs allege that the Midjourney product uses Stable Diffusion but also that it was “trained on a subset of the images used to train Stable Diffusion.” Id. ¶¶ 34, 62, 134, 135. The Midjourney Product is offered to online users of the internet-chat system Discord, as well as through an app, for a service fee. Id. ¶¶ 136, 137, 139. Midjourney’s CEO has stated that Midjourney used large open data sets, thereby “implying” that Midjourney used the LAION datasets for training. Id. ¶¶ 148-149. In August 2022, Midjourney released a beta version using Stable Diffusion. Id. ¶ 149. Plaintiff Anderson resides in Oregon and is a full-time cartoonist and illustrator. Plaintiffs allege that Anderson “has created and owns a copyright interest in over two hundred Works included in the Training Data,” and has registered or applied “for an owns copyright registrations for sixteen collections that include Works used as Training Images.” Id. ¶ 28. Plaintiff McKernan resides in Tennessee and is a full-time artist. McKernan is alleged to have “created and owns a copyright interest in over thirty Works used as Training Images.” Id. ¶ 20. Plaintiff Ortiz resides in California and is a full-time artist. Ortiz is alleged to have “created and owns a copyright interest in at least twelve Works that were used as Training Images.” Id. ¶ 30. Plaintiffs assert the following claims against all three sets of defendants: (1) Direct (3) violation of the Digital Millennium Copyright Act, 17 U.S.C. §§ 1201-1205 (“DMCA”); (4) violation of the Right to Publicity, Cal. Civil Code § 3344; (5) violation of the Common Law Right of Publicity; (6) Unfair Competition, Cal. Bus. & Prof. Code § 17200; and (7) Declaratory Relief. Plaintiffs also assert a breach of contract claim against DeviantArt only. Each defendant separately moves to dismiss, and DeviantArt also moves to strike under California’s anti-SLAPP statute, California Code of Civil Procedure § 425.161. Under FRCP 12(b)(6), a district court must dismiss a complaint if it fails to state a claim upon which relief can be granted. To survive a Rule 12(b)(6) motion to dismiss, the plaintiff must allege “enough facts to state a claim to relief that is plausible on its face.” Bell Atl. Corp. v. Twombly, 550 U.S. 544, 570 (2007). A claim is facially plausible when the plaintiff pleads facts that “allow the court to draw the reasonable inference that the defendant is liable for the

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