{ "$schema": "https://json-schema.org/draft/2020-12/schema", "title": "record.json: facts about one render (recipe, setup, outputs). No interpretation lives here.", "type": "object", "required": [ "id", "schema_version", "source", "created", "license", "consent", "model", "setup", "bends", "outputs" ], "properties": { "id": { "type": "string" }, "schema_version": { "type": "string" }, "source": { "enum": [ "paper", "paper_reproduction", "author_experiment", "sweep", "run", "session", "artist" ] }, "created": { "type": "string" }, "license": { "type": "string" }, "contributor": { "type": "string" }, "consent": { "type": "object", "required": [ "prompt", "input_image" ], "properties": { "prompt": { "type": "boolean" }, "input_image": { "type": "boolean" } } }, "model": { "type": "object", "required": [ "family" ], "properties": { "family": { "type": "string" }, "arch": { "type": [ "string", "null" ] }, "checkpoint": { "type": "string" }, "checkpoint_sha256": { "type": "string" } } }, "setup": { "type": "object", "properties": { "route": { "enum": [ "txt2img", "img2img", "unsample_resample", "inpaint", "other" ] }, "seed": { "type": [ "integer", "null" ] }, "sampler": { "type": "string" }, "scheduler": { "type": "string" }, "steps": { "type": "integer" }, "cfg": { "type": "number" }, "width": { "type": "integer" }, "height": { "type": "integer" }, "denoise": { "type": "number" }, "end_at_frac": { "type": "number" }, "prompt": { "type": "string", "description": "only with consent.prompt" }, "negative": { "type": "string", "description": "only with consent.prompt" }, "prompt_key": { "type": "string", "description": "stands in for the prompt; salted when not shared" }, "input_image": { "type": "string", "description": "only with consent.input_image" }, "input_key": { "type": "string" } } }, "bends": { "type": "array", "items": { "type": "object", "required": [ "path", "op", "args", "start", "end", "window", "bucket" ], "properties": { "path": { "type": "string" }, "op": { "type": "string" }, "args": { "type": "object" }, "group": { "type": "string" }, "kind": { "type": "string" }, "module_type": { "type": "string", "description": "torch class of the bent module, e.g. Conv2d, Linear, LayerNorm" }, "container": { "type": "string" }, "start": { "type": "number", "description": "fraction of the steps where the bend starts, 0 = first step" }, "end": { "type": "number" }, "window": { "enum": [ "all", "early", "early_to_mid", "middle", "mid_to_end", "late" ] }, "bucket": { "type": "string", "description": "coarse amount label, e.g. zero, damp, boost, quarter, heavy" }, "t": { "type": "array" }, "steps": { "type": "string" }, "steps_min": { "type": [ "integer", "null" ] }, "steps_max": { "type": [ "integer", "null" ] }, "blend": { "type": "number" }, "label": { "type": "string" } } } }, "outputs": { "type": "object", "required": [ "image" ], "properties": { "image": { "type": "string" }, "input": { "type": "string" }, "latent": { "type": "string" }, "baseline_id": { "type": "string" } } }, "provenance": { "type": "object" } } }