{"schema":"record/v1","id":"art_01M5NPJE3H9328BHTW03W8JRMZ","type":"article","revision":1,"etag":"\"r1.s0\"","title":"Which workflow settings multiply or divide GPU cost per job in ComfyUI: CFG 1, regional sampling, recovery samplers, cached partial re-runs?","summary":"Problem. Two workflows with the same steps and resolution can differ by a large factor in model evaluations. Conditions. ComfyUI core samplers.py at 9fe7ef76; Impact Pack Regional Sampler tutorial (default-branch text, no commit id); a Wan 2.2 end-frame example. Levers. (1) CFG 1.0: in the sampler, when cond_scale is close to 1.0 (and disable_cfg1_optimization is not set) the unconditional branch is dropped, so each step evaluates the model once instead of twice (inference: count of passes; see C3-B582-05 for why negatives then do nothing). (2) Regional Sampler: a base-only stage runs base_only_steps, then each step does base-region sampling plus one sampling per region, and the tutorial states that the optional additional_mode recovery 'requires a longer time for sampling because a second sampling is performed at each step in each region'. A rough model (inference): passes per step = 1 + R (+ R with recovery) for R regions, so budget about (1+R) to (1+2R) times a single-sampler ste...","status":"active","body":{"text":"Problem. Two workflows with the same steps and resolution can differ by a large factor in model evaluations. Conditions. ComfyUI core samplers.py at 9fe7ef76; Impact Pack Regional Sampler tutorial (default-branch text, no commit id); a Wan 2.2 end-frame example. Levers. (1) CFG 1.0: in the sampler, when cond_scale is close to 1.0 (and disable_cfg1_optimization is not set) the unconditional branch is dropped, so each step evaluates the model once instead of twice (inference: count of passes; see C3-B582-05 for why negatives then do nothing). (2) Regional Sampler: a base-only stage runs base_only_steps, then each step does base-region sampling plus one sampling per region, and the tutorial states that the optional additional_mode recovery 'requires a longer time for sampling because a second sampling is performed at each step in each region'. A rough model (inference): passes per step = 1 + R (+ R with recovery) for R regions, so budget about (1+R) to (1+2R) times a single-sampler step. (3) Caching: re-running with only a downstream field changed re-executes only downstream nodes; the end-frame example says changing the extracted frame index reruns 'the frame extraction part only', which needs a fixed seed (see C3-B574-01 and C3-B579-04). Method. Estimate cost per job as cold cost x (fraction of nodes whose inputs changed) x passes-per-step multiplier, then add retries (C3-B584-09 and C3-B574-18 for duplicate-charge risk). Failure modes. A random seed or a changed upstream widget invalidates the cache silently; regional sampling with a mismatched composition gives blurry output the tutorial warns about, which raises retry rate. Limitations. Multipliers are inference from descriptions; no timings measured. Version and date. ComfyUI 9fe7ef76.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Pass-count multipliers are my model; timings not measured. Tutorial text is not pinned to a commit.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://raw.githubusercontent.com/comfyanonymous/ComfyUI/9fe7ef764d0452dcc9dcb925efd076d4e68eece1/comfy/samplers.py","note":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic"},{"url":"https://raw.githubusercontent.com/ltdrdata/ComfyUI-extension-tutorials/HEAD/ComfyUI-Impact-Pack/tutorial/regional_sampler.md","note":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic"},{"url":"https://raw.githubusercontent.com/radiatingreverberations/comfyui-workflows/4311de8088665c461ca362a3993392c0e31f7f7b/wan2.2-i2v-endframe/video_wan2_2_14B_i2v_endframe.md","note":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic"}]},"categories":["T04","T05","T08"],"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://raw.githubusercontent.com/comfyanonymous/ComfyUI/9fe7ef764d0452dcc9dcb925efd076d4e68eece1/comfy/samplers.py","claim":"Problem. Two workflows with the same steps and resolution can differ by a large factor in model evaluations. Conditions. ComfyUI core samplers.py at 9fe7ef76; Impact Pack Regional Sampler tutorial (default-branch text, no commit id); a Wan 2.2 end-frame example. Levers. (1) CFG 1.0: in the sampler, when cond_scale is close to 1.0 (and disable_cfg1_optimization is not set) the unconditional branch is dropped, so each step evaluates the model once instead of twice (inference: count of passes; see C3-B582-05 for why negatives then do nothing). (2) Regional Sampler: a base-only stage runs base_only_steps, then each step does base-region sampling plus one sampling per region, and the tutorial states that the optional additional_mode recovery 'requires a longer time for sampling because a second sampling is performed at each step in each region'. A rough model (inference): passes per step = 1 + R (+ R with recovery) for R regions, so budget about (1+R) to (1+2R) times a single-sampler step. (3) Caching: re-running with only a downstream field changed re-executes only downstream nodes; the end-frame example says changing the extracted frame index reruns 'the frame extraction part only', which needs a fixed seed (see C3-B574-01 and C3-B579-04). Method. Estimate cost per job as cold cost x (fraction of nodes whose inputs changed) x passes-per-step multiplier, then add retries (C3-B584-09 and C3-B574-18 for duplicate-charge risk). Failure modes. A random seed or a changed upstream widget invalidates the cache silently; regional sampling with a mismatched composition gives blurry output the tutorial warns about, which raises retry rate. Limitations. Multipliers are inference from descriptions; no timings measured. Version and date. ComfyUI 9fe7ef76.","locator":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic","classification":"sourced_fact"}],"execution_record_ids":[]},"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"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-9fa498684733c1d7a3e47642a8982d47d4d8709c/record.json#p-9fa498684733c1d7a3e47642a8982d47d4d8709c/record","import_batch_id":"pipe-692b614565bc7936ce81d0265d27b73634aab518","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-692b614565bc7936ce81d0265d27b73634aab518","original":{"body":{"text":"Problem. Two workflows with the same steps and resolution can differ by a large factor in model evaluations. Conditions. ComfyUI core samplers.py at 9fe7ef76; Impact Pack Regional Sampler tutorial (default-branch text, no commit id); a Wan 2.2 end-frame example. Levers. (1) CFG 1.0: in the sampler, when cond_scale is close to 1.0 (and disable_cfg1_optimization is not set) the unconditional branch is dropped, so each step evaluates the model once instead of twice (inference: count of passes; see C3-B582-05 for why negatives then do nothing). (2) Regional Sampler: a base-only stage runs base_only_steps, then each step does base-region sampling plus one sampling per region, and the tutorial states that the optional additional_mode recovery 'requires a longer time for sampling because a second sampling is performed at each step in each region'. A rough model (inference): passes per step = 1 + R (+ R with recovery) for R regions, so budget about (1+R) to (1+2R) times a single-sampler step. (3) Caching: re-running with only a downstream field changed re-executes only downstream nodes; the end-frame example says changing the extracted frame index reruns 'the frame extraction part only', which needs a fixed seed (see C3-B574-01 and C3-B579-04). Method. Estimate cost per job as cold cost x (fraction of nodes whose inputs changed) x passes-per-step multiplier, then add retries (C3-B584-09 and C3-B574-18 for duplicate-charge risk). Failure modes. A random seed or a changed upstream widget invalidates the cache silently; regional sampling with a mismatched composition gives blurry output the tutorial warns about, which raises retry rate. Limitations. Multipliers are inference from descriptions; no timings measured. Version and date. ComfyUI 9fe7ef76.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources.\n\nLimitations: Pass-count multipliers are my model; timings not measured. Tutorial text is not pinned to a commit.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://raw.githubusercontent.com/comfyanonymous/ComfyUI/9fe7ef764d0452dcc9dcb925efd076d4e68eece1/comfy/samplers.py","note":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic"},{"url":"https://raw.githubusercontent.com/ltdrdata/ComfyUI-extension-tutorials/HEAD/ComfyUI-Impact-Pack/tutorial/regional_sampler.md","note":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic"},{"url":"https://raw.githubusercontent.com/radiatingreverberations/comfyui-workflows/4311de8088665c461ca362a3993392c0e31f7f7b/wan2.2-i2v-endframe/video_wan2_2_14B_i2v_endframe.md","note":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic"}]},"tags":[],"type":"article","links":[],"title":"Which workflow settings multiply or divide GPU cost per job in ComfyUI: CFG 1, regional sampling, recovery samplers, cached partial re-runs?","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. Two workflows with the same steps and resolution can differ by a large factor in model evaluations. Conditions. ComfyUI core samplers.py at 9fe7ef76; Impact Pack Regional Sampler tutorial (default-branch text, no commit id); a Wan 2.2 end-frame example. Levers. (1) CFG 1.0: in the sampler, when cond_scale is close to 1.0 (and disable_cfg1_optimization is not set) the unconditional branch is dropped, so each step evaluates the model once instead of twice (inference: count of passes; see C3-B582-05 for why negatives then do nothing). (2) Regional Sampler: a base-only stage runs base_only_steps, then each step does base-region sampling plus one sampling per region, and the tutorial states that the optional additional_mode recovery 'requires a longer time for sampling because a second sampling is performed at each step in each region'. A rough model (inference): passes per step = 1 + R (+ R with recovery) for R regions, so budget about (1+R) to (1+2R) times a single-sampler ste...","evidence":{"claims":[{"url":"https://raw.githubusercontent.com/comfyanonymous/ComfyUI/9fe7ef764d0452dcc9dcb925efd076d4e68eece1/comfy/samplers.py","claim":"Problem. Two workflows with the same steps and resolution can differ by a large factor in model evaluations. Conditions. ComfyUI core samplers.py at 9fe7ef76; Impact Pack Regional Sampler tutorial (default-branch text, no commit id); a Wan 2.2 end-frame example. Levers. (1) CFG 1.0: in the sampler, when cond_scale is close to 1.0 (and disable_cfg1_optimization is not set) the unconditional branch is dropped, so each step evaluates the model once instead of twice (inference: count of passes; see C3-B582-05 for why negatives then do nothing). (2) Regional Sampler: a base-only stage runs base_only_steps, then each step does base-region sampling plus one sampling per region, and the tutorial states that the optional additional_mode recovery 'requires a longer time for sampling because a second sampling is performed at each step in each region'. A rough model (inference): passes per step = 1 + R (+ R with recovery) for R regions, so budget about (1+R) to (1+2R) times a single-sampler step. (3) Caching: re-running with only a downstream field changed re-executes only downstream nodes; the end-frame example says changing the extracted frame index reruns 'the frame extraction part only', which needs a fixed seed (see C3-B574-01 and C3-B579-04). Method. Estimate cost per job as cold cost x (fraction of nodes whose inputs changed) x passes-per-step multiplier, then add retries (C3-B584-09 and C3-B574-18 for duplicate-charge risk). Failure modes. A random seed or a changed upstream widget invalidates the cache silently; regional sampling with a mismatched composition gives blurry output the tutorial warns about, which raises retry rate. Limitations. Multipliers are inference from descriptions; no timings measured. Version and date. ComfyUI 9fe7ef76.","locator":"sampling_function; additional_mode; Basic; Pick a different ending frame; Basic","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T04","T05","T08"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":["CAT:T08.06","CAT:T04.08"],"confidence":"Pass-count multipliers are my model; timings not measured. Tutorial text is not pinned to a commit.","limitations":["Pass-count multipliers are my model; timings not measured. 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