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    Flux Kontext + PuLID + Detail Daemon — Character LoRA Dataset Generator (164+ images) - v1.0
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    Running Kontext ReferenceLatent conditioning through standard PuLID throws an error about

    unexpected conditioning format. Fix: patch pulidflux.py to add timestep_zero_index kwarg

    support and generation-token-only injection mode. Full patch instructions in the linked Article.

    ━━━ HARDWARE REQUIREMENTS ━━━

    • Minimum: 16GB VRAM (will be slow, may need to reduce steps/resolution)

    • Recommended: 24GB+ VRAM (RTX 3090/4090)

    • Ideal: 48–96GB VRAM (A100, H100, RTX 6000 Ada)

    • RAM: 32GB+ system RAM

    • Storage: ~22GB for all models + 5–10GB per batch run output

    ━━━ REQUIRED MODELS ━━━

    Place in the specified ComfyUI subdirectory:

    • models/unet/ — flux1-dev-kontext_fp8_scaled.safetensors (~17GB) [HuggingFace: black-forest-labs]

    • models/vae/ — ae.safetensors (~335MB) [HuggingFace: black-forest-labs/FLUX.1-dev]

    • models/clip/ — clip_l.safetensors (~246MB) + t5xxl_fp8_e4m3fn_scaled.safetensors (~4.7GB)

    • models/loras/ — flux_realism_lora.safetensors (XLabs — CivitAI)

    • models/loras/ — fluxRealSkin_v2.safetensors (CivitAI)

    • models/pulid/ — pulid_flux_v0.9.0.safetensors

    InsightFace weights download automatically on first run (internet required for first execution only).

    ━━━ REQUIRED CUSTOM NODES ━━━

    • ComfyUI-PuLID-Flux (with pulidflux.py patch — see Article)

    • ComfyUI-Detail-Daemon

    • ComfyUI-Kontext (ReferenceLatent + FluxKontextImageScale — built into recent ComfyUI)

    ━━━ TO USE ━━━

    1. Place 3 reference images in ComfyUI/input/:

    — Node 4: full/3-quarter body reference

    — Node 30: head+shoulders face reference

    — Node 20: tight face crop for PuLID (face fills 70%+ of frame, near-frontal angle)

    2. Edit CLIPTextEncode (Node 7) with your character description

    3. Run a single image first to verify setup, then queue the full batch

    ━━━ KEY PARAMETERS ━━━

    PuLID — Node 24:

    weight 0.73 (0.35–0.75 useful range) — higher = stronger identity, lower = more variation

    start_at 0.05 — leave at 0.05; lets structure form before identity locks

    end_at 0.72 — lower if skin looks plastic; releases final texture passes from PuLID constraint

    Detail Daemon — Node 50:

    detail_amount 0.40 (0.20–0.55 range) — sweet spot; 0.50+ = over-sharpened

    start 0.25 / end 0.80 — active across mid-sampling where detail resolves

    LoRA strengths:

    XLabs Realism (Node 40): 0.60 (0.35–0.75 useful range)

    FluxRealSkin v2 (Node 41): 0.45 (0.25–0.55 useful range)

    Note: these two compound — if you raise one, slightly lower the other

    Sampling: 25 steps, euler_ancestral, simple scheduler, guidance 2.5

    ━━━ FILES INCLUDED ━━━

    • workflow_ui_format.json — import directly into ComfyUI

    Generates 164 photorealistic identity-consistent images from 3 reference photos.

    Built for high-quality synthetic training datasets for Wan 2.2 / HunyuanVideo character

    LoRAs — but outputs are also great standalone character content. Developed across 16

    test iterations for maximum photorealism, identity consistency, and anatomical accuracy.

    ━━━ WHAT IT DOES ━━━

    Combines three techniques that individually exist in the community but haven't been

    documented together in a single production-ready batch pipeline:

    • Flux Kontext DUAL reference chain — body ref + face ref simultaneously, stronger than single ref

    • PuLID Flux face identity injection — biometric-level face locking via InsightFace embeddings

    • Detail Daemon sampler augmentation — forces skin pores, hair strands, iris texture to resolve

    • XLabs Flux Realism LoRA + FluxRealSkin v2 stacked for photographic skin rendering

    ━━━ OUTPUT ━━━

    82 prompts × 2 seeds = 164 images:

    • 10 extreme close-ups (frontal, 90° profile left/right, dutch tilt, high angle, low angle, head down)

    • 15 portraits head+shoulders (laughing, looking away, over-shoulder, near-profile, editorial, candid)

    • 15 medium waist-up shots

    • 12 full body — 768×1152 PORTRAIT canvas so subjects look tall, not short

    • 12 revealing/fashion outfits

    • 12 lifestyle/candid

    • 6 lighting moods (golden hour, dramatic shadow, neon night, overcast, backlit, morning window)

    ━━━ KEY TECHNICAL FINDINGS ━━━

    1. PuLID must be applied AFTER LoRAs — LoRAs define rendering style first, PuLID locks face into it

    2. Detail Daemon wraps the SAMPLER output of KSamplerSelect, NOT the sigmas — wrong wiring = 400 error

    3. SamplerCustomAdvanced + BasicGuider is REQUIRED when using PuLID (standard KSampler won't work)

    4. 768×1152 portrait canvas for full body — square 1024×1024 makes subjects look short/wide

    ━━━ COMPATIBILITY WARNING — READ BEFORE INSTALLING ━━━

    The standard ComfyUI-PuLID-Flux node is NOT compatible with Flux Kontext out of the box.

    Running Kontext ReferenceLatent conditioning through standard PuLID throws an error about

    unexpected conditioning format. Fix: patch pulidflux.py to add timestep_zero_index kwarg

    support and generation-token-only injection mode. Full patch instructions in the linked Article.

    ━━━ HARDWARE REQUIREMENTS ━━━

    • Minimum: 16GB VRAM (will be slow, may need to reduce steps/resolution)

    • Recommended: 24GB+ VRAM (RTX 3090/4090)

    • Ideal: 48–96GB VRAM (A100, H100, RTX 6000 Ada)

    • RAM: 32GB+ system RAM

    • Storage: ~22GB for all models + 5–10GB per batch run output

    ━━━ REQUIRED MODELS ━━━

    Place in the specified ComfyUI subdirectory:

    • models/unet/ — flux1-dev-kontext_fp8_scaled.safetensors (~17GB) [HuggingFace: black-forest-labs]

    • models/vae/ — ae.safetensors (~335MB) [HuggingFace: black-forest-labs/FLUX.1-dev]

    • models/clip/ — clip_l.safetensors (~246MB) + t5xxl_fp8_e4m3fn_scaled.safetensors (~4.7GB)

    • models/loras/ — flux_realism_lora.safetensors (XLabs — CivitAI)

    • models/loras/ — fluxRealSkin_v2.safetensors (CivitAI)

    • models/pulid/ — pulid_flux_v0.9.0.safetensors

    InsightFace weights download automatically on first run (internet required for first execution only).

    ━━━ REQUIRED CUSTOM NODES ━━━

    • ComfyUI-PuLID-Flux (with pulidflux.py patch — see Article)

    • ComfyUI-Detail-Daemon

    • ComfyUI-Kontext (ReferenceLatent + FluxKontextImageScale — built into recent ComfyUI)

    ━━━ TO USE ━━━

    1. Place 3 reference images in ComfyUI/input/:

    — Node 4: full/3-quarter body reference

    — Node 30: head+shoulders face reference

    — Node 20: tight face crop for PuLID (face fills 70%+ of frame, near-frontal angle)

    2. Edit CLIPTextEncode (Node 7) with your character description

    3. Run a single image first to verify setup, then queue the full batch

    ━━━ KEY PARAMETERS ━━━

    PuLID — Node 24:

    weight 0.73 (0.35–0.75 useful range) — higher = stronger identity, lower = more variation

    start_at 0.05 — leave at 0.05; lets structure form before identity locks

    end_at 0.72 — lower if skin looks plastic; releases final texture passes from PuLID constraint

    Detail Daemon — Node 50:

    detail_amount 0.40 (0.20–0.55 range) — sweet spot; 0.50+ = over-sharpened

    start 0.25 / end 0.80 — active across mid-sampling where detail resolves

    LoRA strengths:

    XLabs Realism (Node 40): 0.60 (0.35–0.75 useful range)

    FluxRealSkin v2 (Node 41): 0.45 (0.25–0.55 useful range)

    Note: these two compound — if you raise one, slightly lower the other

    Sampling: 25 steps, euler_ancestral, simple scheduler, guidance 2.5

    ━━━ FILES INCLUDED ━━━

    • workflow_ui_format.json — import directly into ComfyUI

    Description

    Workflows
    Flux.1 Kontext

    Details

    Downloads
    15
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/20/2026
    Updated
    5/24/2026
    Deleted
    -

    Files

    fluxKontextPulidDetailDaemon_v10.json

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