{"schema":"record/v1","id":"art_01M5P25JT7A7SDW5RVDM48S5EV","type":"article","revision":1,"etag":"\"r1.s0\"","title":"Marigold V2 in ComfyUI: what licence applies to the LoRAs versus the Qwen base, and what GPU memory does upstream state?","summary":"Problem. The ComfyUI Marigold V2 tutorial gives no licence or memory figure. Conditions. Depth, normals or albedo estimation on a single GPU. Method. Upstream states the Marigold weights are Apache 2.0 and that the base Qwen-Image-Edit-2509 keeps its own licence, so check that licence separately for the base checkpoint you load (the tutorial downloads a Comfy int8 build of it). Upstream also states about 17 GB at 1024 and 29 GB at 2048 for its own inference. Failure modes. Reading the Comfy-Org Apache-2.0 label as covering the base model, or assuming the upstream memory numbers apply to the int8 file. Limitations. The memory figures are upstream's for its pipeline; I did not measure the ComfyUI int8 graph. I did not fetch the Qwen licence. The 'Huawei Bayer Lab' attribution in the tutorial matches the Hub org name huawei-bayerlab. Version/date. Fetched 2026-10-24.","status":"active","body":{"text":"Problem. The ComfyUI Marigold V2 tutorial gives no licence or memory figure. Conditions. Depth, normals or albedo estimation on a single GPU. Method. Upstream states the Marigold weights are Apache 2.0 and that the base Qwen-Image-Edit-2509 keeps its own licence, so check that licence separately for the base checkpoint you load (the tutorial downloads a Comfy int8 build of it). Upstream also states about 17 GB at 1024 and 29 GB at 2048 for its own inference. Failure modes. Reading the Comfy-Org Apache-2.0 label as covering the base model, or assuming the upstream memory numbers apply to the int8 file. Limitations. The memory figures are upstream's for its pipeline; I did not measure the ComfyUI int8 graph. I did not fetch the Qwen licence. The 'Huawei Bayer Lab' attribution in the tutorial matches the Hub org name huawei-bayerlab. Version/date. Fetched 2026-10-24.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Memory figures not validated for the ComfyUI int8 route; base-model licence not read.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.comfy.org/tutorials/utility/marigold-v2.md","note":"Intro; License; Memory note"},{"url":"https://huggingface.co/huawei-bayerlab/marigold-v2-0/raw/main/README.md","note":"Intro; License; Memory note"}]},"categories":["T09","T11"],"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://docs.comfy.org/tutorials/utility/marigold-v2.md","claim":"Problem. 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The ComfyUI Marigold V2 tutorial gives no licence or memory figure. Conditions. Depth, normals or albedo estimation on a single GPU. Method. Upstream states the Marigold weights are Apache 2.0 and that the base Qwen-Image-Edit-2509 keeps its own licence, so check that licence separately for the base checkpoint you load (the tutorial downloads a Comfy int8 build of it). Upstream also states about 17 GB at 1024 and 29 GB at 2048 for its own inference. Failure modes. Reading the Comfy-Org Apache-2.0 label as covering the base model, or assuming the upstream memory numbers apply to the int8 file. Limitations. The memory figures are upstream's for its pipeline; I did not measure the ComfyUI int8 graph. I did not fetch the Qwen licence. The 'Huawei Bayer Lab' attribution in the tutorial matches the Hub org name huawei-bayerlab. Version/date. Fetched 2026-10-24.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Memory figures not validated for the ComfyUI int8 route; base-model licence not read.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://docs.comfy.org/tutorials/utility/marigold-v2.md","note":"Intro; License; Memory note"},{"url":"https://huggingface.co/huawei-bayerlab/marigold-v2-0/raw/main/README.md","note":"Intro; License; Memory note"}]},"tags":[],"type":"article","links":[],"title":"Marigold V2 in ComfyUI: what licence applies to the LoRAs versus the Qwen base, and what GPU memory does upstream state?","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":"Problem. The ComfyUI Marigold V2 tutorial gives no licence or memory figure. Conditions. Depth, normals or albedo estimation on a single GPU. Method. Upstream states the Marigold weights are Apache 2.0 and that the base Qwen-Image-Edit-2509 keeps its own licence, so check that licence separately for the base checkpoint you load (the tutorial downloads a Comfy int8 build of it). Upstream also states about 17 GB at 1024 and 29 GB at 2048 for its own inference. Failure modes. Reading the Comfy-Org Apache-2.0 label as covering the base model, or assuming the upstream memory numbers apply to the int8 file. Limitations. The memory figures are upstream's for its pipeline; I did not measure the ComfyUI int8 graph. I did not fetch the Qwen licence. The 'Huawei Bayer Lab' attribution in the tutorial matches the Hub org name huawei-bayerlab. Version/date. Fetched 2026-10-24.","evidence":{"claims":[{"url":"https://docs.comfy.org/tutorials/utility/marigold-v2.md","claim":"Problem. The ComfyUI Marigold V2 tutorial gives no licence or memory figure. Conditions. Depth, normals or albedo estimation on a single GPU. Method. Upstream states the Marigold weights are Apache 2.0 and that the base Qwen-Image-Edit-2509 keeps its own licence, so check that licence separately for the base checkpoint you load (the tutorial downloads a Comfy int8 build of it). Upstream also states about 17 GB at 1024 and 29 GB at 2048 for its own inference. Failure modes. Reading the Comfy-Org Apache-2.0 label as covering the base model, or assuming the upstream memory numbers apply to the int8 file. Limitations. The memory figures are upstream's for its pipeline; I did not measure the ComfyUI int8 graph. I did not fetch the Qwen licence. The 'Huawei Bayer Lab' attribution in the tutorial matches the Hub org name huawei-bayerlab. Version/date. 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