6efb55c59f
feat: add complete HunyuanVideo and Wan2.2 video generation integration
...
Build and Push RunPod Docker Image / build-and-push (push) Successful in 15s
Integrated 35+ video generation models and 13 production workflows from ComfyUI docs tutorials for state-of-the-art text-to-video and image-to-video generation.
Models Added (models_huggingface.yaml):
- HunyuanVideo (5 models): Original T2V/I2V (720p), v1.5 (720p/1080p) with Qwen 2.5 VL
- Wan2.2 diffusion models (18 models):
- 5B TI2V hybrid (8GB VRAM, efficient)
- 14B variants: T2V, I2V (high/low noise), Animate, S2V (FP8/BF16), Fun Camera/Control (high/low noise)
- Support models (12): VAEs, UMT5-XXL, CLIP Vision H, Wav2Vec2, LLaVA encoders
- LoRA accelerators (4): Lightx2v 4-step distillation for 5x speedup
Workflows Added (comfyui/workflows/image-to-video/):
- HunyuanVideo (5 workflows): T2V original, I2V v1/v2 (webp embedded), v1.5 T2V/I2V (JSON)
- Wan2.2 (8 workflows): 5B TI2V, 14B T2V/I2V/FLF2V/Animate/S2V/Fun Camera/Fun Control
- Asset files (10): Reference images, videos, audio for workflow testing
Custom Nodes Added (arty.yml):
- ComfyUI-KJNodes: Kijai optimizations for HunyuanVideo/Wan2.2 (FP8 scaling, video helpers)
- comfyui_controlnet_aux: ControlNet preprocessors (Canny, Depth, OpenPose, MLSD) for Fun Control
- ComfyUI-GGUF: GGUF quantization support for memory optimization
VRAM Requirements:
- HunyuanVideo original: 24GB (720p T2V/I2V, 129 frames, 5s generation)
- HunyuanVideo 1.5: 30-60GB (720p/1080p, improved quality with Qwen 2.5 VL)
- Wan2.2 5B: 8GB (efficient dual-expert architecture with native offloading)
- Wan2.2 14B: 24GB (high-quality video generation, all modes)
Note: Wan2.2 Fun Inpaint workflow not available in official templates repository (404).
Tutorial Sources:
- https://docs.comfy.org/tutorials/video/hunyuan/hunyuan-video
- https://docs.comfy.org/tutorials/video/hunyuan/hunyuan-video-1-5
- https://docs.comfy.org/tutorials/video/wan/wan2_2
- https://docs.comfy.org/tutorials/video/wan/wan2-2-animate
- https://docs.comfy.org/tutorials/video/wan/wan2-2-s2v
- https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-camera
- https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-control
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-25 10:43:39 +01:00
513062623c
feat: integrate ACE Step music generation with 19-language support
...
Build and Push RunPod Docker Image / build-and-push (push) Successful in 14s
Added ACE Step v1 3.5B model for state-of-the-art music generation:
- 15x faster than LLM baselines with superior structural coherence
- Supports 19 languages (en, zh, ja, ko, fr, es, de, it, pt, ru + 9 more)
- Voice cloning, lyric alignment, and multi-genre capabilities
Changes:
- Added ACE Step models to models_huggingface.yaml (checkpoint + Chinese RAP LoRA)
- Added ComfyUI_ACE-Step custom node to arty.yml with installation script
- Created 4 comprehensive workflows in comfyui/workflows/text-to-music/:
* acestep-simple-t2m-v1.json - Basic 60s text-to-music generation
* acestep-multilang-t2m-v1.json - 19-language music generation
* acestep-remix-m2m-v1.json - Music-to-music remixing with style transfer
* acestep-chinese-rap-v1.json - Chinese hip-hop with specialized LoRA
🤖 Generated with Claude Code (https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-25 08:40:17 +01:00
e29f77c90b
feat: add dedicated CivitAI NSFW model downloader
...
- Add models_civitai.yaml with 6 NSFW SDXL checkpoints
- Create artifact_civitai_download.sh with beautiful purple/magenta CLI
- Update .env.example with CIVITAI_API_KEY documentation
- Update CLAUDE.md with CivitAI usage instructions
- Rename comfyui_models.yaml to models_huggingface.yaml for clarity
Features:
- Dedicated config and downloader for CivitAI models
- Same elegant architecture as HuggingFace downloader
- Retry logic, rate limiting, progress bars
- Models: LUSTIFY, Pony Diffusion V6, RealVisXL, etc.
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com >
2025-11-23 17:58:25 +01:00
