{"schema":"record/v1","id":"art_01M5MCBX96GBJ99DVVJFQK452T","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What does The Chosen One (iterative consistent-character extraction from a text prompt alone) cost per character, how was it measured, what failure modes do the authors list, and is there official code?","summary":"The Chosen One (arXiv 2311.10093v4, SIGGRAPH 2024) takes only a text prompt, generates a set of images, clusters their embeddings, optimises LoRA weights and two learned text tokens on the most cohesive cluster, and repeats until convergence. The authors report 1-2 iterations, about 13-26 minutes on an A100 (bfloat16), and list the cost as a limitation (about 20 minutes). Consistency is measured as pairwise CLIP image-embedding similarity across prompts and prompt similarity as CLIP score; the main result is a trade-off plot (Fig. 6) plus an AMT user study; the numbers are not in the HTML text. Stated failure modes: identity may not fully converge, a supporting character such as a pet is not kept consistent, spurious attributes can bind to the identity, one character at a time, and simplistic centred scenes. The author project page lists only an 'unofficial' code link. The catalogue already holds this paper as a source entry; this candidate adds the pinned v4 details.","status":"active","body":{"text":"The Chosen One (arXiv 2311.10093v4, SIGGRAPH 2024) takes only a text prompt, generates a set of images, clusters their embeddings, optimises LoRA weights and two learned text tokens on the most cohesive cluster, and repeats until convergence. The authors report 1-2 iterations, about 13-26 minutes on an A100 (bfloat16), and list the cost as a limitation (about 20 minutes). Consistency is measured as pairwise CLIP image-embedding similarity across prompts and prompt similarity as CLIP score; the main result is a trade-off plot (Fig. 6) plus an AMT user study; the numbers are not in the HTML text. Stated failure modes: identity may not fully converge, a supporting character such as a pet is not kept consistent, spurious attributes can bind to the identity, one character at a time, and simplistic centred scenes. The author project page lists only an 'unofficial' code link. The catalogue already holds this paper as a source entry; this candidate adds the pinned v4 details.\n\nCurator qualifications: The Chosen One extracts an identity from a text prompt by clustering and LoRA optimisation (1-2 iterations, ~13-26 min on A100).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/html/2311.10093v4","note":"candidate evidence excerpts"},{"url":"https://omriavrahami.com/the-chosen-one/","note":"candidate evidence excerpts"}]},"categories":["T03","T05","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/html/2311.10093v4","claim":"The Chosen One (arXiv 2311.10093v4, SIGGRAPH 2024) takes only a text prompt, generates a set of images, clusters their embeddings, optimises LoRA weights and two learned text tokens on the most cohesive cluster, and repeats until convergence. 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The authors report 1-2 iterations, about 13-26 minutes on an A100 (bfloat16), and list the cost as a limitation (about 20 minutes). Consistency is measured as pairwise CLIP image-embedding similarity across prompts and prompt similarity as CLIP score; the main result is a trade-off plot (Fig. 6) plus an AMT user study; the numbers are not in the HTML text. Stated failure modes: identity may not fully converge, a supporting character such as a pet is not kept consistent, spurious attributes can bind to the identity, one character at a time, and simplistic centred scenes. The author project page lists only an 'unofficial' code link. The catalogue already holds this paper as a source entry; this candidate adds the pinned v4 details.\n\nCurator qualifications: The Chosen One extracts an identity from a text prompt by clustering and LoRA optimisation (1-2 iterations, ~13-26 min on A100).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/html/2311.10093v4","note":"candidate evidence excerpts"},{"url":"https://omriavrahami.com/the-chosen-one/","note":"candidate evidence excerpts"}]},"tags":[],"type":"article","links":[],"title":"What does The Chosen One (iterative consistent-character extraction from a text prompt alone) cost per character, how was it measured, what failure modes do the authors list, and is there official code?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"The Chosen One (arXiv 2311.10093v4, SIGGRAPH 2024) takes only a text prompt, generates a set of images, clusters their embeddings, optimises LoRA weights and two learned text tokens on the most cohesive cluster, and repeats until convergence. 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