comfyui-character-gen
Build identity-preserving character generation workflows and pipelines in ComfyUI. Selects the optimal identity method (InfiniteYou, FLUX Kontext, PuLID, InstantID, IP-Adapter) based on use case requirements. Handles face preservation, likeness transfer, cross-domain conversion (3D to photo), multi-reference consistency, iterative character editing, and character variation generation. Triggers on requests to generate consistent characters, preserve identity across images, create face-swapping workflows, or convert 3D renders to photorealistic portraits. Does NOT cover general image generation without identity preservation, model training/LoRA fine-tuning, animation, technical explanations, or workflow debugging.
Works with
--- name: comfyui-character-gen description: Build identity-preserving character generation workflows and pipelines in ComfyUI. Selects the optimal identity method (InfiniteYou, FLUX Kontext, PuLID, InstantID, IP-Adapter) based on use case requirements. Handles face preservation, likeness transfer, cross-domain conversion (3D to photo), multi-reference consistency, iterative character editing, and character variation generation. Triggers on requests to generate consistent characters, preserve identity across images, create face-swapping workflows, or convert 3D renders to photorealistic portraits. Does NOT cover general image generation without identity preservation, model training/LoRA fine-tuning, animation, technical explanations, or workflow debugging. license: MIT --- # ComfyUI Character Generation Expert Build production-ready ComfyUI workflows for consistent character generation across image, video, and voice modalities. ## Quick Decision: Which Approach? **Starting from reference images (like 3D renders)?** → **InfiniteYou** (state-of-the-art 2025) or InstantID + IP-Adapter (proven, lower VRAM) **Need highest identity fidelity?** → **FLUX.2** (NEW 2026: up to 10 ref images) or **PuLID Flux II** (no model pollution) **Want iterative editing without retraining?** → **FLUX Kontext** (context-aware, maintains consistency across edits) **Creating video content?** → **LTX-2** (NEW 2026: 4K production-ready), **Wan 2.2 MoE** (film-level), or **FramePack** (60-sec on 6GB!) **Need voice for character?** → **TTS Audio Suite** (unified platform, 23 languages) or **F5-TTS Cross-Lingual** (NEW 2026) ## Core Workflow Patterns ### Pattern 1: Zero-Shot Character Generation (No Training) Best for: Quick iteration, 3D-to-photorealism conversion, limited reference images ``` Load Reference Face → InstantID + IP-Adapter FaceID → ControlNet Pose → KSampler → FaceDetailer → Upscale ``` **Critical settings:** - CFG: 4-5 (prevents burning with InstantID) - Resolution: 1016×1016 (avoids watermark artifacts) - IP-Adapter weight: 0.6-0.8 - InstantID noise injection: 35% to negative See `references/workflows.md` for complete node configurations. ### Pattern 2: LoRA + Identity Methods (Maximum Consistency) Best for: Production work, character series, video generation base ``` Train LoRA → Load LoRA + Checkpoint → Add InstantID/PuLID → Generate → FaceDetailer → ReActor (optional) → Upscale ``` **Training requirements:** - 15-30 images, varied poses/expressions/lighting - Unique trigger word (e.g., "sage_character") - See `references/lora-training.md` for full parameters ### Pattern 3: Video Generation Pipeline Best for: Talking heads, character animation, promotional content ``` Generate/Load Hero Image → Wan 2.1 I2V OR AnimateDiff → FaceDetailer per frame → Frame Interpolation → Video Combine ``` **Model selection:** - Wan 2.1 14B: Best quality, 24GB+ VRAM, slower - Wan 2.1 1.3B: 8GB VRAM, good quality, faster - AnimateDiff Lightning: Fastest, best for iteration ### Pattern 4: Talking Head with Voice Best for: Character dialogue, presentations, social content **Two approaches available:** ``` Approach 1 (Image → Talking Head): Character Portrait → Generate Audio → SadTalker/LivePortrait → CodeFormer Enhancement → Final Video Approach 2 (Video → Add Voice): Existing Video → Generate Audio → Wav2Lip Lip-Sync → CodeFormer Enhancement → Final Video ``` See `references/talking-head-workflows.md` for complete workflows and `references/voice-synthesis.md` for voice creation options. ## Model Recommendations (2026 Updated) ### Image Generation | Use Case | Model | Notes | |----------|-------|-------| | Best photorealism | FLUX.1-dev | Slow but superior quality | | Multi-reference consistency | **FLUX.2** | **NEW 2026**: Up to 10 ref images, strong identity preservation | | Fast iteration | RealVisXL V5.0 | Good balance speed/quality | | Character editing | **FLUX Kontext** | Context-aware, maintains consistency across edits | | Iterative refinement | FLUX Kontext Pro/Max | 8x faster than GPT-Image (API) | ### Identity Preservation (2026 State-of-Art) | Method | Best For | VRAM | Notes | |--------|----------|------|-------| | **FLUX.2** | Multi-reference consistency | 24GB+ | **NEW 2026**: Up to 10 ref images, branded content | | **InfiniteYou** | Highest identity match | 24GB | ICCV 2025 Highlight, SIM/AES variants | | **FLUX Kontext** | Iterative editing | 12-32GB | Built-in consistency, no retraining | | **PuLID Flux II** | Dual characters, no pollution | 24-40GB | Contrastive alignment solves model pollution | | **AuraFace** | Commercial identity encoding | 12GB | **NEW 2026**: Open-source ArcFace alternative | | InstantID | Style transfer, 3D→realistic | 12GB | Maintenance mode but still excellent | | IP-Adapter FaceID | Speed, lower VRAM | 6GB+ | Good baseline approach | ### Video Generation | Model | Quality | Speed | VRAM | Notes | |-------|---------|-------|------|-------| | **LTX-2** | ★★★★★ | Medium | 16GB+ | **NEW 2026**: First open-source 4K audio+video, production-ready | | **Wan 2.2 MoE** | ★★★★★ | Slow | 24GB+ | Film-level aesthetics, first+last frame control | | **FramePack** | ★★★★★ | Medium | **6GB** | 60-sec videos, VRAM-invariant breakthrough | | Wan 2.1 1.3B | ★★★★ | Medium | 8GB+ | Consumer-friendly | | AnimateDiff V3 | ★★★ | Fast | 8GB | Motion/camera LoRAs, infinite length | ### Voice/TTS | Tool | License | Quality | Features | |------|---------|---------|----------| | **TTS Audio Suite** | Multi | ★★★★★ | Unified platform, 23 languages, emotion control | | **F5-TTS** | MIT | ★★★★ | Zero-shot from <15 sec samples, **Cross-Lingual 2026** | | Chatterbox | MIT | ★★★★★ | Paralinguistic tags (`[laugh]`, `[sigh]`), 4 voices | | IndexTTS-2 | MIT | ★★★★ | 8-emotion vector control | | ElevenLabs | Commercial | ★★★★★ | Production quality (API) | ## Essential Custom Nodes Install via ComfyUI-Manager: ``` ComfyUI-Manager # Must install first ComfyUI_IPAdapter_plus # IP-Adapter and FaceID ComfyUI_InstantID # InstantID workflow ComfyUI-Impact-Pack # FaceDetailer ComfyUI-ReActor # Face swapping ComfyUI-AnimateDiff-Evolved # Video generation ComfyUI-VideoHelperSuite # Video I/O comfyui_controlnet_aux # Pose/depth preprocessors ComfyUI_UltimateSDUpscale # Tiled upscaling ComfyUI-Frame-Interpolation # Smooth video ``` ## RTX 50 Series Optimization (NEW 2026) With 32GB VRAM on RTX 5090, run most workflows without optimization. **ComfyUI v0.8.1** adds major RTX 50 Series enhancements: ``` Launch flags: --highvram --fp8_e4m3fn-unet ``` **NEW v0.8.1 Features:** - **NVFP4/NVFP8 precision formats**: 3x faster performance, 60% VRAM reduction on RTX 50 Series - **Weight streaming**: Uses system RAM when VRAM exhausted, enables larger models on mid-range GPUs - Enable tiled VAE for 8K+ upscaling - Batch 4× 1024×1024 generations in parallel - Run Wan 2.2 14B + LTX-2 natively - Use FP8 quantization for FLUX (50% VRAM reduction) ## Workflow Generation Process When building a workflow for a user: 1. **Clarify the goal**: Image only? Video? With voice? What's the source material? 2. **Select the pipeline pattern** from above based on requirements 3. **Generate the workflow** following node configurations in `references/workflows.md` 4. **Include model downloads** with exact filenames and paths from `references/models.md` 5. **Provide parameter recommendations** specific to their hardware/use case ## Reference Files - `references/research-log.md` - **Latest techniques**: InfiniteYou, FLUX Kontext, PuLID Flux II, Wan 2.2 MoE, FramePack, FLUX.2, LTX-2.3, Wan 2.6, Qwen3-TTS, and more - `references/models.md` - Complete model list with HuggingFace/Civitai links, file paths, and compatibility notes - `references/workflows.md` - Detailed node-by-node workflow templates for each pattern - `references/lora-training.md` - LoRA training guide with Kohya/AI-Toolkit parameters - `references/voice-synthesis.md` - Voice cloning, TTS, and lip-sync pipeline details - `references/talking-head-workflows.md` - **Complete talking head workflows**: Image→Talking Head (SadTalker, LivePortrait) and Video→Add Voice (Wav2Lip) with production scripts - `references/evolution.md` - Update sources, changelog, and user-specific learnings ## Skill Evolution This skill is designed to evolve. When helping the user: **Before starting a workflow:** - Check if new models have dropped that might be better (search HuggingFace/Civitai if uncertain) - Consider if user's past successes/failures inform the approach **After completing a workflow:** - Note what worked well or poorly for future reference - If user discovers better settings, update the relevant reference file **Proactive updates:** - When the user mentions a new model or technique, research and integrate it - Periodically suggest checking for updates to key dependencies See `references/evolution.md` for monitoring sources and update protocols. ## Example: 3D Render to Photorealistic Character For converting stylized 3D renders (like game/VN characters) to photorealistic images: **Recommended approach:** InstantID + IP-Adapter FaceID on FLUX ``` 1. Load 3D render reference (best quality, front-facing) 2. Apply InstantID (extracts identity + facial keypoints) 3. Apply IP-Adapter FaceID Plus V2 (weight 0.7) 4. Use FLUX.1-dev checkpoint 5. Prompt: "photorealistic portrait, detailed skin texture, natural lighting, [character description]" 6. CFG: 4-5, Steps: 25-30 7. FaceDetailer pass (denoise 0.35) 8. Upscale with 4x-UltraSharp ``` This converts the stylized look to photorealism while preserving the core identity features.
More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

