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orchestrator/characters.yaml

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+# ============================================================================
+# characters.yaml — your cast, one block per character
+# ============================================================================
+# Add a new character here to make them available in shots.yaml.
+# body_image / face_image must already be uploaded to ComfyUI/input/.
+# ============================================================================
+
+jim:
+  body_image: "Jim_.png"
+  face_image: "Jim_face.png"
+  ipa_weight: 0.43        # default IPA body-reference strength for this character
+
+barbara:
+  body_image: "barbara_.png"
+  face_image: "barbara_face.png"
+  ipa_weight: 0.43
+
+# ── Add more characters below ───────────────────────────────────────────────
+# elena:
+#   body_image: "Elena_reduct.jpg"
+#   face_image: "Elena_face.png"
+#   ipa_weight: 0.43

orchestrator/orchestrator.py

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+#!/usr/bin/env python3
+"""
+orchestrator.py — drives ComfyUI's REST API to generate a storyboard.
+
+WHAT THIS DOES:
+  1. Reads shots.yaml (your storyboard, one block per shot)
+  2. Loads single_shot_template.json (the reusable ~43-node pipeline)
+  3. For each shot: overrides prompt text + character/location refs, submits
+     to ComfyUI's /prompt endpoint, waits for completion, moves to next shot
+  4. No canvas editing, no manual node clicking — fully automated
+
+REQUIREMENTS:
+  pip install requests pyyaml --break-system-packages
+
+USAGE:
+  # 1. Make sure ComfyUI is running (python main.py --listen 0.0.0.0 --port 8188)
+  # 2. Edit shots.yaml to add/change shots
+  # 3. Run:
+  python orchestrator.py
+
+  # Run only specific shots (comma-separated IDs):
+  python orchestrator.py --only B1_Jim_Seated_Table,B2_Jim_BarCounter_Facing
+
+  # Point at a different ComfyUI instance:
+  python orchestrator.py --host http://localhost:8188
+"""
+import argparse
+import copy
+import json
+import sys
+import time
+from pathlib import Path
+
+import requests
+import yaml
+
+# ============================================================================
+# NODE ID MAP — which node in the template each field maps to
+# (These IDs come from single_shot_template.json — don't change unless you
+#  re-extract the template from a different pipeline)
+# ============================================================================
+NODE = {
+    "pos":          20,   # CLIPTextEncodeFlux POS  (widgets: [clip_l, t5, guidance])
+    "neg":          21,   # CLIPTextEncodeFlux NEG
+    "ipa":          23,   # ApplyFluxIPAdapter      (widgets: [weight])
+    "pulid_s1":     24,   # ApplyPulidFlux Stage 1  (widgets: [weight, ...])
+    "cn_apply":     25,   # ControlNetApplyAdvanced (widgets: [strength, start%, end%])
+    "face_pos":     35,   # CLIPTextEncodeFlux face POS
+    "face_neg":     36,   # CLIPTextEncodeFlux face NEG
+    "pulid_s2":     34,   # ApplyPulidFlux Stage 2
+    "save_final":   39,   # SaveImage FINAL        (widgets: [filename_prefix])
+    "save_s1":      28,   # SaveImage Stage1        (widgets: [filename_prefix])
+}
+
+# Reference image LoadImage nodes — keyed by character/location name
+REF_NODE = {
+    "jim_body":     16,
+    "jim_face":     17,
+    "barbara_body": 18,
+    "barbara_face": 19,
+}
+
+# Which LoadImage node the ControlNetApplyAdvanced (id 25) should pull its
+# depth image from, depending on shot['location']. The template has TWO
+# depth preprocessors already wired (12=LOC1, 13=LOC2); we just need the
+# CN Apply node's "image" INPUT to point at the correct one at submit time.
+DEPTH_NODE = {"loc1": "12", "loc2": "13"}
+
+DEFAULT_NEG = (
+    "low quality, bad anatomy, extra limbs, missing limbs, watermark, "
+    "blurry, deformed face, extra fingers, duplicate, ugly"
+)
+DEFAULT_FACE_NEG = "low quality, bad anatomy, blurry, deformed face"
+
+
+def load_template(path: str) -> dict:
+    with open(path) as f:
+        return json.load(f)
+
+
+def workflow_to_api_format(wf: dict) -> dict:
+    """
+    Convert the UI-style workflow (nodes/links arrays, used for canvas display)
+    into the API prompt format ComfyUI's /prompt endpoint expects
+    (a flat dict of node_id -> {class_type, inputs}).
+    """
+    link_map = {l[0]: l for l in wf["links"]}
+    api = {}
+    for n in wf["nodes"]:
+        node_id = str(n["id"])
+        inputs = {}
+        # Wire up input links
+        for i, inp in enumerate(n.get("inputs", [])):
+            lid = inp.get("link")
+            if lid is not None:
+                l = link_map[lid]
+                src_node, src_slot = l[1], l[2]
+                inputs[inp["name"]] = [str(src_node), src_slot]
+        # Wire up widget values (order matters — matches node's widget order)
+        widget_names = [i["name"] for i in n.get("inputs", []) if i.get("link") is None]
+        # Simpler: ComfyUI API expects widget values merged into inputs by name.
+        # We rely on the fact that widgets_values order matches the node's
+        # default widget schema — this works for all nodes used in this template.
+        wv = n.get("widgets_values", [])
+        # Map widget index -> input name using the node's *own* declared widget slots.
+        # ComfyUI stores this implicitly; for our known node types we hardcode below.
+        api[node_id] = {"class_type": n["type"], "inputs": inputs, "_widgets": wv}
+    return api
+
+
+def apply_shot_overrides(wf: dict, shot: dict, char_registry: dict) -> dict:
+    """Return a deep-copied workflow with this shot's values patched in."""
+    wf = copy.deepcopy(wf)
+    by_id = {n["id"]: n for n in wf["nodes"]}
+
+    char = shot["character"]
+    guidance = shot.get("guidance", 4.5)
+    neg_guidance = shot.get("neg_guidance", 3.5)
+
+    # ---- Prompts ----
+    by_id[NODE["pos"]]["widgets_values"] = [
+        shot["clip_l"].strip(), shot["t5"].strip(), guidance
+    ]
+    by_id[NODE["neg"]]["widgets_values"] = [
+        "", shot.get("neg", DEFAULT_NEG), neg_guidance
+    ]
+    by_id[NODE["face_pos"]]["widgets_values"] = [
+        shot["face_clip_l"].strip(), shot["face_t5"].strip(), guidance
+    ]
+    by_id[NODE["face_neg"]]["widgets_values"] = [
+        "", shot.get("face_neg", DEFAULT_FACE_NEG), neg_guidance
+    ]
+
+    # ---- Character reference images (IPA body ref + PuLID face ref) ----
+    body_ref_id = REF_NODE[f"{char}_body"]
+    face_ref_id = REF_NODE[f"{char}_face"]
+    body_fname = char_registry[char]["body_image"]
+    face_fname = char_registry[char]["face_image"]
+    by_id[body_ref_id]["widgets_values"] = [body_fname, "image"]
+    by_id[face_ref_id]["widgets_values"] = [face_fname, "image"]
+
+    # ---- IPA / PuLID weights (allow per-shot override, else registry default) ----
+    ipa_weight = shot.get("ipa_weight", char_registry[char].get("ipa_weight", 0.43))
+    by_id[NODE["ipa"]]["widgets_values"] = [ipa_weight]
+
+    pulid_s1_weight = shot.get("pulid_s1_weight", 0.85)
+    by_id[NODE["pulid_s1"]]["widgets_values"][0] = pulid_s1_weight
+    pulid_s2_weight = shot.get("pulid_s2_weight", 0.95)
+    by_id[NODE["pulid_s2"]]["widgets_values"][0] = pulid_s2_weight
+
+    # ---- ControlNet strength (allow per-shot override) ----
+    cn_strength = shot.get("cn_strength", 0.45)
+    cn_end = shot.get("cn_end", 0.65)
+    by_id[NODE["cn_apply"]]["widgets_values"] = [cn_strength, 0.0, cn_end]
+
+    # ---- Location routing: rewire ControlNetApplyAdvanced's image input ----
+    depth_node_id = int(DEPTH_NODE[shot["location"]])
+    cn_node = by_id[NODE["cn_apply"]]
+    # input[3] is "image" on ControlNetApplyAdvanced
+    for link in wf["links"]:
+        if link[3] == NODE["cn_apply"] and link[4] == 3:
+            link[1] = depth_node_id   # rewire source node
+            link[2] = 0               # output slot 0 (IMAGE)
+
+    # ---- Output filenames ----
+    by_id[NODE["save_final"]]["widgets_values"] = [f"{shot['id']}_FINAL"]
+    by_id[NODE["save_s1"]]["widgets_values"] = [f"{shot['id']}_Stage1"]
+
+    return wf
+
+
+def ui_workflow_to_prompt_payload(wf: dict) -> dict:
+    """
+    Proper conversion from UI graph format to the API's prompt dict format.
+    ComfyUI needs: {node_id: {"class_type": ..., "inputs": {name: value_or_link}}}
+    """
+    link_map = {l[0]: l for l in wf["links"]}
+    prompt = {}
+
+    for n in wf["nodes"]:
+        node_id = str(n["id"])
+        class_type = n["type"]
+        inputs = {}
+
+        # Linked inputs (connections from other nodes)
+        linked_names = set()
+        for inp in n.get("inputs", []):
+            lid = inp.get("link")
+            if lid is not None:
+                l = link_map[lid]
+                inputs[inp["name"]] = [str(l[1]), l[2]]
+                linked_names.add(inp["name"])
+
+        # Widget inputs — map by position, skipping names already satisfied by links
+        # This requires knowing each node type's widget schema. We maintain a
+        # minimal schema map for the node types actually used in this template.
+        wv = n.get("widgets_values", [])
+        schema = WIDGET_SCHEMA.get(class_type)
+        if schema:
+            wi = 0
+            for name in schema:
+                if name in linked_names:
+                    continue
+                if wi < len(wv):
+                    inputs[name] = wv[wi]
+                    wi += 1
+
+        prompt[node_id] = {"class_type": class_type, "inputs": inputs}
+
+    return prompt
+
+
+# Widget name schemas for every node type in the template, in ComfyUI's
+# declared widget order. Required to build a correct /prompt payload.
+WIDGET_SCHEMA = {
+    "UNETLoader": ["unet_name", "weight_dtype"],
+    "DualCLIPLoader": ["clip_name1", "clip_name2", "type", "device"],
+    "VAELoader": ["vae_name"],
+    "ControlNetLoader": ["control_net_name"],
+    "LoadFluxIPAdapter": ["ipadapter", "clip_vision", "provider"],
+    "PulidFluxModelLoader": ["pulid_file"],
+    "PulidFluxEvaClipLoader": [],
+    "PulidFluxInsightFaceLoader": ["provider"],
+    "UltralyticsDetectorProvider": ["model_name"],
+    "LoadImage": ["image", "upload"],
+    "DepthAnythingV2Preprocessor": ["ckpt_name", "resolution"],
+    "CLIPTextEncodeFlux": ["clip_l", "t5xxl", "guidance"],
+    "EmptySD3LatentImage": ["width", "height", "batch_size"],
+    "ApplyFluxIPAdapter": ["weight"],
+    "ApplyPulidFlux": ["weight", "start_at", "end_at"],
+    "ControlNetApplyAdvanced": ["strength", "start_percent", "end_percent"],
+    "KSampler": ["seed", "control_after_generate", "steps", "cfg",
+                 "sampler_name", "scheduler", "denoise"],
+    "VAEDecode": [],
+    "SaveImage": ["filename_prefix"],
+    "BboxDetectorSEGS": ["threshold", "dilation", "crop_factor",
+                         "drop_size", "labels"],
+    "SegsToCombinedMask": [],
+    "MaskBlur+": ["amount", "device"],
+    "VAEEncode": [],
+    "SetLatentNoiseMask": [],
+}
+
+
+def submit_and_wait(host: str, prompt_payload: dict, shot_id: str, timeout: int = 600):
+    """Submit to ComfyUI /prompt and poll /history until this prompt completes."""
+    resp = requests.post(f"{host}/prompt", json={"prompt": prompt_payload})
+    resp.raise_for_status()
+    data = resp.json()
+    prompt_id = data["prompt_id"]
+    print(f"  [{shot_id}] submitted, prompt_id={prompt_id}")
+
+    start = time.time()
+    while time.time() - start < timeout:
+        h = requests.get(f"{host}/history/{prompt_id}").json()
+        if prompt_id in h:
+            status = h[prompt_id].get("status", {})
+            if status.get("completed"):
+                print(f"  [{shot_id}] done in {time.time()-start:.1f}s")
+                return h[prompt_id]
+            if status.get("status_str") == "error":
+                print(f"  [{shot_id}] FAILED: {status}")
+                return None
+        time.sleep(3)
+    print(f"  [{shot_id}] TIMEOUT after {timeout}s")
+    return None
+
+
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--host", default="http://localhost:8188")
+    ap.add_argument("--shots", default="shots.yaml")
+    ap.add_argument("--template", default="single_shot_template.json")
+    ap.add_argument("--characters", default="characters.yaml")
+    ap.add_argument("--only", default=None,
+                     help="Comma-separated shot IDs to run (default: all)")
+    args = ap.parse_args()
+
+    with open(args.characters) as f:
+        char_registry = yaml.safe_load(f)
+    with open(args.shots) as f:
+        shots = yaml.safe_load(f)
+    template = load_template(args.template)
+
+    if args.only:
+        wanted = set(args.only.split(","))
+        shots = [s for s in shots if s["id"] in wanted]
+
+    print(f"Running {len(shots)} shot(s) against {args.host}\n")
+
+    for shot in shots:
+        wf = apply_shot_overrides(template, shot, char_registry)
+        prompt_payload = ui_workflow_to_prompt_payload(wf)
+        submit_and_wait(args.host, prompt_payload, shot["id"])
+
+    print("\nAll shots submitted.")
+
+
+if __name__ == "__main__":
+    main()

orchestrator/shots.yaml

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+# ============================================================================
+# shots.yaml — YOUR STORYBOARD, ONE BLOCK PER SHOT
+# ============================================================================
+# This is the ONLY file you edit to add, remove, or change shots.
+# The orchestrator reads this and drives ComfyUI automatically.
+#
+# Fields:
+#   id          - filename prefix for the saved image
+#   character   - "jim" or "barbara" (which body/face ref + PuLID to use)
+#   location    - "loc1" (bar counter POV) or "loc2" (room POV)
+#   clip_l      - short tag-style prompt (CLIP_L box)
+#   t5          - long natural-language prompt (T5 box) — this one matters most
+#   face_clip_l - short tags for the Stage 2 face-lock pass
+#   face_t5     - long description for the Stage 2 face-lock pass
+#   neg         - negative prompt (optional, has a sensible default)
+# ============================================================================
+
+- id: B1_Jim_Seated_Table
+  character: jim
+  location: loc2
+  clip_l: >
+    medium shot, early-40s man seated at wooden table, dark brown swept-back hair,
+    short dark beard, hazel eyes, green blazer grey sweater, lifting a glass to his
+    lips tasting a drink, elbow on table, noir bar, blue neon, amber pendant lamp,
+    cinematic 35mm
+  t5: >
+    Cinematic medium shot of a man in his early forties with thick dark brown hair
+    neatly swept back, short well-groomed dark beard, warm hazel-brown eyes, wearing
+    a dark forest-green blazer over a grey crew-neck sweater. He sits alone at a
+    dark wooden table, one elbow resting on the surface, the other hand raising a
+    glass to his lips as he takes a slow sip, eyes softly narrowed in concentration.
+    Intimate noir bar at night, dark navy charcoal walls, exposed terracotta brick
+    wall, glowing blue cursive neon sign on the ceiling, warm copper pendant lamps,
+    long bar counter with illuminated spirit bottle shelves in the deep background,
+    cinematic anamorphic look, shallow depth of field, 35mm film grain.
+  face_clip_l: >
+    early-40s man face seated, dark brown hair, short dark beard, hazel eyes, glass
+    raised near lips, blue neon and amber light, cinematic
+  face_t5: >
+    Photographic medium close-up of a man with thick dark brown hair, short
+    well-groomed dark beard, warm hazel-brown eyes, glass raised near his lips
+    tasting a drink, blue neon light raking across the face, warm amber rim light,
+    sharp focus on face, photographic realism.
+
+- id: B2_Jim_BarCounter_Facing
+  character: jim
+  location: loc1
+  clip_l: >
+    medium close-up, early-40s man at bar counter, glass just set down, forearms
+    flat on counter, facing camera, dark brown hair, short beard, green blazer,
+    amber bottle wall behind, blue neon overhead, cinematic 35mm
+  t5: >
+    Cinematic medium close-up of a man in his early forties, thick dark brown hair
+    swept back, short well-groomed dark beard, warm hazel-brown eyes, dark forest
+    green blazer. He has just set his glass down on the bar counter, both forearms
+    resting flat, hands relaxed, looking directly at camera with calm confidence.
+    Backlit wall of amber spirit bottles glows behind him. Intimate noir bar at
+    night, blue cursive neon sign overhead, warm amber backlight rim, cinematic
+    anamorphic look, shallow depth of field, 35mm film grain.
+  face_clip_l: >
+    early-40s man face at bar counter, dark brown hair, short beard, facing camera,
+    calm confident, amber backlight, blue neon, cinematic
+  face_t5: >
+    Photographic medium close-up of a man with dark brown hair swept back, short
+    well-groomed dark beard, warm hazel-brown eyes, facing camera directly, calm
+    confident expression, warm amber backlight, blue neon overhead, sharp focus,
+    photographic realism.
+
+# ── Add more shots below by copying the block structure above ──────────────
+# - id: B11_NewShot
+#   character: barbara
+#   location: loc1
+#   clip_l: ...
+#   t5: ...
+#   face_clip_l: ...
+#   face_t5: ...

orchestrator/single_shot_template.json

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+{
+  "id": "single-shot-template",
+  "revision": 0,
+  "last_node_id": 231,
+  "last_link_id": 46,
+  "nodes": [
+    {
+      "id": 1,
+      "type": "UNETLoader",
+      "pos": [
+        0,
+        0
+      ],
+      "size": [
+        320,
+        90
+      ],
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "slot_index": 0,
+          "links": [
+            5,
+            33,
+            49,
+            77,
+            93,
+            121,
+            137,
+            165,
+            181,
+            209,
+            225,
+            253,
+            269,
+            297,
+            313,
+            341,
+            357,
+            395,
+            418,
+            456
+          ]
+        }
+      ],
+      "title": "Load Flux UNET",
+      "properties": {
+        "Node name for S&R": "UNETLoader",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "flux1-dev.safetensors",
+        "default"
+      ]
+    },
+    {
+      "id": 2,
+      "type": "DualCLIPLoader",
+      "pos": [
+        340,
+        0
+      ],
+      "size": [
+        340,
+        140
+      ],
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "slot_index": 0,
+          "links": [
+            3,
+            4,
+            38,
+            39,
+            47,
+            48,
+            82,
+            83,
+            91,
+            92,
+            126,
+            127,
+            135,
+            136,
+            170,
+            171,
+            179,
+            180,
+            214,
+            215,
+            223,
+            224,
+            258,
+            259,
+            267,
+            268,
+            302,
+            303,
+            311,
+            312,
+            346,
+            347,
+            355,
+            356,
+            407,
+            408,
+            416,
+            417,
+            468,
+            469
+          ]
+        }
+      ],
+      "title": "DualCLIP T5+L",
+      "properties": {
+        "Node name for S&R": "DualCLIPLoader",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "t5xxl_fp16.safetensors",
+        "clip_l.safetensors",
+        "flux",
+        "default"
+      ]
+    },
+    {
+      "id": 3,
+      "type": "VAELoader",
+      "pos": [
+        700,
+        0
+      ],
+      "size": [
+        280,
+        70
+      ],
+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "slot_index": 0,
+          "links": [
+            17,
+            23,
+            30,
+            45,
+            61,
+            67,
+            74,
+            89,
+            105,
+            111,
+            118,
+            133,
+            149,
+            155,
+            162,
+            177,
+            193,
+            199,
+            206,
+            221,
+            237,
+            243,
+            250,
+            265,
+            281,
+            287,
+            294,
+            309,
+            325,
+            331,
+            338,
+            353,
+            379,
+            385,
+            392,
+            414,
+            440,
+            446,
+            453,
+            475
+          ]
+        }
+      ],
+      "title": "VAE",
+      "properties": {
+        "Node name for S&R": "VAELoader",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "ae.safetensors"
+      ]
+    },
+    {
+      "id": 4,
+      "type": "ControlNetLoader",
+      "pos": [
+        1000,
+        0
+      ],
+      "size": [
+        320,
+        70
+      ],
+      "flags": {},
+      "order": 3,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "CONTROL_NET",
+          "type": "CONTROL_NET",
+          "slot_index": 0,
+          "links": [
+            15,
+            59,
+            103,
+            147,
+            191,
+            235,
+            279,
+            323,
+            377,
+            438
+          ]
+        }
+      ],
+      "title": "Depth ControlNet",
+      "properties": {
+        "Node name for S&R": "ControlNetLoader",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "FLUX.1-dev-Controlnet-Depth.safetensors"
+      ]
+    },
+    {
+      "id": 5,
+      "type": "LoadFluxIPAdapter",
+      "pos": [
+        1340,
+        0
+      ],
+      "size": [
+        340,
+        110
+      ],
+      "flags": {},
+      "order": 4,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "ipadapterFlux",
+          "type": "IP_ADAPTER_FLUX",
+          "slot_index": 0,
+          "links": [
+            6,
+            50,
+            94,
+            138,
+            182,
+            226,
+            270,
+            314,
+            358,
+            361,
+            419,
+            422,
+            478,
+            482
+          ]
+        }
+      ],
+      "title": "XLabs IPA Loader",
+      "properties": {
+        "Node name for S&R": "LoadFluxIPAdapter",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "ip-adapter_flux_xlabs.safetensors",
+        "clip_vit_large_patch14.safetensors",
+        "GPU"
+      ]
+    },
+    {
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+      "type": "PulidFluxModelLoader",
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+        0
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+      "size": [
+        300,
+        70
+      ],
+      "flags": {},
+      "order": 5,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "PULIDFLUX",
+          "type": "PULIDFLUX",
+          "slot_index": 0,
+          "links": [
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+            34,
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+            370,
+            396,
+            402,
+            425,
+            431,
+            457,
+            463
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+        }
+      ],
+      "title": "PuLID Model",
+      "properties": {
+        "Node name for S&R": "PulidFluxModelLoader",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "pulid_flux_v0.9.1.safetensors"
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+    },
+    {
+      "id": 7,
+      "type": "PulidFluxEvaClipLoader",
+      "pos": [
+        2020,
+        0
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+      "size": [
+        280,
+        70
+      ],
+      "flags": {},
+      "order": 6,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "EVA_CLIP",
+          "type": "EVA_CLIP",
+          "slot_index": 0,
+          "links": [
+            10,
+            35,
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+            371,
+            397,
+            403,
+            426,
+            432,
+            458,
+            464
+          ]
+        }
+      ],
+      "title": "PuLID EVA-CLIP",
+      "properties": {
+        "Node name for S&R": "PulidFluxEvaClipLoader",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": []
+    },
+    {
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+      "type": "PulidFluxInsightFaceLoader",
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+        0
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+      "size": [
+        300,
+        70
+      ],
+      "flags": {},
+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "FACEANALYSIS",
+          "type": "FACEANALYSIS",
+          "slot_index": 0,
+          "links": [
+            11,
+            36,
+            55,
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+            366,
+            372,
+            398,
+            404,
+            427,
+            433,
+            459,
+            465
+          ]
+        }
+      ],
+      "title": "PuLID InsightFace",
+      "properties": {
+        "Node name for S&R": "PulidFluxInsightFaceLoader",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "CUDA"
+      ]
+    },
+    {
+      "id": 9,
+      "type": "UltralyticsDetectorProvider",
+      "pos": [
+        2640,
+        0
+      ],
+      "size": [
+        320,
+        90
+      ],
+      "flags": {},
+      "order": 8,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "BBOX_DETECTOR",
+          "type": "BBOX_DETECTOR",
+          "slot_index": 0,
+          "links": [
+            25,
+            69,
+            113,
+            157,
+            201,
+            245,
+            289,
+            333,
+            387,
+            448
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+        {
+          "name": "SEGM_DETECTOR",
+          "type": "SEGM_DETECTOR",
+          "slot_index": 1,
+          "links": []
+        }
+      ],
+      "title": "Face BBox Detector",
+      "properties": {
+        "Node name for S&R": "UltralyticsDetectorProvider",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "bbox/face_yolov8m.pt"
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+    {
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+      "type": "LoadImage",
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+        220
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+          "type": "IMAGE",
+          "slot_index": 0,
+          "links": [
+            1
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+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "slot_index": 1,
+          "links": []
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+      ],
+      "title": "Location 1: Bar counter POV",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
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+      "widgets_values": [
+        "location-1-bar.jpg",
+        "image"
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+          "slot_index": 0,
+          "links": [
+            2
+          ]
+        },
+        {
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+          "type": "MASK",
+          "slot_index": 1,
+          "links": []
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+      ],
+      "title": "Location 2: Room POV",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "location-2-bar.jpg",
+        "image"
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+    {
+      "id": 12,
+      "type": "DepthAnythingV2Preprocessor",
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+        220
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+        110
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+      "flags": {},
+      "order": 71,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 1
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+          "name": "IMAGE",
+          "type": "IMAGE",
+          "slot_index": 0,
+          "links": [
+            60,
+            236
+          ]
+        }
+      ],
+      "title": "Depth LOC1",
+      "properties": {
+        "Node name for S&R": "DepthAnythingV2Preprocessor",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "depth_anything_v2_vitl.pth",
+        1024
+      ]
+    },
+    {
+      "id": 13,
+      "type": "DepthAnythingV2Preprocessor",
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+        110
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+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 2
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+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "slot_index": 0,
+          "links": [
+            16,
+            104,
+            148,
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+            280,
+            324,
+            378,
+            439
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+        }
+      ],
+      "title": "Depth LOC2",
+      "properties": {
+        "Node name for S&R": "DepthAnythingV2Preprocessor",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "depth_anything_v2_vitl.pth",
+        1024
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+    },
+    {
+      "id": 14,
+      "type": "LoadImage",
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+      "flags": {},
+      "order": 24,
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+      "outputs": [
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+          "name": "IMAGE",
+          "type": "IMAGE",
+          "slot_index": 0,
+          "links": []
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "slot_index": 1,
+          "links": [
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+        }
+      ],
+      "title": "Mask: Jim LEFT half",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "mask_jim_left.png",
+        "image"
+      ]
+    },
+    {
+      "id": 15,
+      "type": "LoadImage",
+      "pos": [
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+        220
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+      "size": [
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+      "flags": {},
+      "order": 9,
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+          "type": "IMAGE",
+          "slot_index": 0,
+          "links": []
+        },
+        {
+          "name": "MASK",
+          "type": "MASK",
+          "slot_index": 1,
+          "links": [
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+            406
+          ]
+        }
+      ],
+      "title": "Mask: Barbara RIGHT half",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "mask_barbara_right.png",
+        "image"
+      ]
+    },
+    {
+      "id": 16,
+      "type": "LoadImage",
+      "pos": [
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+      "flags": {},
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+      "mode": 0,
+      "inputs": [],
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+          "links": [
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+        {
+          "name": "MASK",
+          "type": "MASK",
+          "slot_index": 1,
+          "links": []
+        }
+      ],
+      "title": "Ref: jim_body",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "Jim_.png",
+        "image"
+      ]
+    },
+    {
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+      "order": 25,
+      "mode": 0,
+      "inputs": [],
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+          "slot_index": 0,
+          "links": [
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+        {
+          "name": "MASK",
+          "type": "MASK",
+          "slot_index": 1,
+          "links": []
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+      ],
+      "title": "Ref: jim_face",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "Jim_face.png",
+        "image"
+      ]
+    },
+    {
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+      "type": "LoadImage",
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+      "flags": {},
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+          "links": [
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+            271,
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+        {
+          "name": "MASK",
+          "type": "MASK",
+          "slot_index": 1,
+          "links": []
+        }
+      ],
+      "title": "Ref: barbara_body",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "barbara_.png",
+        "image"
+      ]
+    },
+    {
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+      "type": "LoadImage",
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+      "flags": {},
+      "order": 23,
+      "mode": 0,
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+      "outputs": [
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+          "name": "IMAGE",
+          "type": "IMAGE",
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+          "links": [
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+        {
+          "name": "MASK",
+          "type": "MASK",
+          "slot_index": 1,
+          "links": []
+        }
+      ],
+      "title": "Ref: barbara_face",
+      "properties": {
+        "Node name for S&R": "LoadImage",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "barbara_face.png",
+        "image"
+      ]
+    },
+    {
+      "id": 20,
+      "type": "CLIPTextEncodeFlux",
+      "pos": [
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+        900
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+      "size": [
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+      "flags": {},
+      "order": 31,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
+          "link": 3
+        }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "slot_index": 0,
+          "links": [
+            13
+          ]
+        }
+      ],
+      "title": "B1_Jim_Seated_Table POS",
+      "properties": {
+        "Node name for S&R": "CLIPTextEncodeFlux",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "medium shot, early-40s man seated at wooden table, dark brown swept-back hair, short dark beard, hazel eyes, green blazer grey sweater, lifting a glass to his lips tasting a drink, elbow on table, eyes closed slightly savoring the sip, noir bar, blue cursive neon, amber pendant lamp, bar counter in background, cinematic 35mm",
+        "Cinematic medium shot of a man in his early forties with thick dark brown hair neatly swept back from the forehead, short well-groomed dark beard, warm hazel-brown eyes, wearing a dark forest-green blazer over a grey crew-neck sweater with a green checked shirt collar visible at the neck, an analog watch on his left wrist. He sits alone at a small dark wooden table inside the bar, one elbow resting on the surface, the other hand raising a glass to his lips as he takes a slow sip, tasting the drink with quiet appreciation, eyes softly narrowed in concentration, posture relaxed. Intimate noir bar at night, cyberpunk speakeasy atmosphere, dark navy charcoal walls with vertical ribbed paneling, exposed terracotta brick wall on one side, glowing blue cursive neon sign on the dark ceiling, electric blue neon tubes in flowing script, neon glow reflecting on surfaces, warm copper wire-frame pendant lamps casting amber pools of light, long bar counter with three illuminated display shelves crowded with dozens of spirit bottles \u2014 whisky, gin, vodka and liqueur glass bottles of varied heights and shapes, amber and clear glass, warm amber backlighting behind the bottles creating a glowing display, condensation on some glasses, vintage Italian digestif illustrated poster on brick wall, painterly label artwork with botanical herbs illustration, aged paper and ornate border, natural light wood plank floor, dark wooden tables with black chairs, cinematic anamorphic look, mixed blue-purple neon and warm amber practical lighting, shallow depth of field, 35mm film grain, photographic realism. The backlit bar counter with amber bottles is visible in the deep background. Cold blue-purple neon from the ceiling rakes across his face, warm amber from a copper pendant lamp catches the shoulders of his green blazer and the glass raised near his mouth, single specular highlight in the iris.",
+        4.5
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+    {
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+      "type": "CLIPTextEncodeFlux",
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+          "type": "CONDITIONING",
+          "slot_index": 0,
+          "links": [
+            14
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+        }
+      ],
+      "title": "B1_Jim_Seated_Table NEG",
+      "properties": {
+        "Node name for S&R": "CLIPTextEncodeFlux",
+        "cnr_id": "comfy-core"
+      },
+      "widgets_values": [
+        "",
+        "low quality, bad anatomy, extra limbs, missing limbs, watermark, blurry, deformed face, extra fingers, duplicate, ugly",
+        3.5
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+      "type": "EmptySD3LatentImage",
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+      "size": [
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+          "type": "LATENT",
+          "slot_index": 0,
+          "links": [
+            21
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+        }
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+      "title": "B1_Jim_Seated_Table latent",
+      "properties": {
+        "Node name for S&R": "EmptySD3LatentImage",
+        "cnr_id": "comfy-core"
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+          "type": "MODEL",
+          "link": 5
+        },
+        {
+          "name": "ip_adapter_flux",
+          "type": "IP_ADAPTER_FLUX",
+          "link": 6
+        },
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 7
+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "slot_index": 0,
+          "links": [
+            8
+          ]
+        }
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+      "title": "IPA body @0.43 (jim)",
+      "properties": {
+        "Node name for S&R": "ApplyFluxIPAdapter",
+        "cnr_id": "comfy-core"
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+      "widgets_values": [
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+      "inputs": [
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+          "type": "MODEL",
+          "link": 8
+        },
+        {
+          "name": "pulid_flux",
+          "type": "PULIDFLUX",
+          "link": 9
+        },
+        {
+          "name": "eva_clip",
+          "type": "EVA_CLIP",
+          "link": 10
+        },
+        {
+          "name": "face_analysis",
+          "type": "FACEANALYSIS",
+          "link": 11
+        },
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 12
+        },
+        {
+          "name": "attn_mask",
+          "shape": 7,
+          "type": "MASK",
+          "link": null
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+        {
+          "name": "options",
+          "shape": 7,
+          "type": "OPTIONS",
+          "link": null
+        },
+        {
+          "name": "prior_image",
+          "type": "IMAGE",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "slot_index": 0,
+          "links": [
+            18
+          ]
+        }
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+      "title": "PuLID @0.85 S1 (jim)",
+      "properties": {
+        "Node name for S&R": "ApplyPulidFlux",
+        "cnr_id": "comfy-core"
+      },
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+        1
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+      "inputs": [
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+          "name": "positive",
+          "type": "CONDITIONING",
+          "link": 13
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "link": 14
+        },
+        {
+          "name": "control_net",
+          "type": "CONTROL_NET",
+          "link": 15
+        },
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 16
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+          "name": "images",
+          "type": "IMAGE",
+          "links": null
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+      "title": "B1_Jim_Seated_Table save FINAL",
+      "properties": {
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+        "cnr_id": "comfy-core"
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+      "title": "Ref: jim_back_34",
+      "properties": {
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