feat: add Arty configuration and Claude Code documentation
- Add arty.yml for repository management with environment profiles (prod/dev/minimal) - Add CLAUDE.md with comprehensive architecture and usage documentation - Add comfyui_models.yaml for ComfyUI model configuration - Include deployment scripts for model linking and dependency installation - Document all git repositories (ComfyUI + 10 custom nodes) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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comfyui_models.yaml
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comfyui_models.yaml
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# ============================================================================
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# ComfyUI Model Configuration
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# ============================================================================
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#
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# This configuration file defines all available ComfyUI models for download.
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# Models are organized by category: image, video, audio, and support models.
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#
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# Each model entry contains:
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# - repo_id: HuggingFace repository identifier
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# - description: Human-readable description
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# - size_gb: Approximate size in gigabytes
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# - essential: Whether this is an essential model (true/false)
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# - category: Model category (image/video/audio/support)
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#
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# ============================================================================
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# Global settings
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settings:
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cache_dir: /workspace/huggingface_cache
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parallel_downloads: 1
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retry_attempts: 3
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timeout_seconds: 3600
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# Model categories
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model_categories:
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# ==========================================================================
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# IMAGE GENERATION MODELS
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# ==========================================================================
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image_models:
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- repo_id: black-forest-labs/FLUX.1-schnell
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description: FLUX.1 Schnell - Fast 4-step inference
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size_gb: 23
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essential: true
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category: image
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format: fp16
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vram_gb: 23
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notes: Industry-leading image generation quality
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- repo_id: black-forest-labs/FLUX.1-dev
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description: FLUX.1 Dev - Balanced quality/speed
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size_gb: 23
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essential: false
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category: image
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format: fp16
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vram_gb: 23
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notes: Development version with enhanced features
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- repo_id: stabilityai/stable-diffusion-xl-base-1.0
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description: SDXL Base 1.0 - Industry standard
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size_gb: 7
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essential: true
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category: image
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format: fp16
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vram_gb: 12
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notes: Most widely used Stable Diffusion model
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- repo_id: stabilityai/stable-diffusion-xl-refiner-1.0
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description: SDXL Refiner 1.0 - Enhances base output
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size_gb: 6
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essential: false
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category: image
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format: fp16
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vram_gb: 12
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notes: Use after SDXL base for improved details
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- repo_id: stabilityai/stable-diffusion-3.5-large
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description: SD 3.5 Large - Latest Stability AI
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size_gb: 18
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essential: false
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category: image
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format: fp16
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vram_gb: 20
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notes: Newest generation Stable Diffusion
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# ==========================================================================
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# VIDEO GENERATION MODELS
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# ==========================================================================
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video_models:
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- repo_id: THUDM/CogVideoX-5b
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description: CogVideoX-5B - Professional text-to-video
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size_gb: 20
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essential: true
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category: video
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format: fp16
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vram_gb: 20
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frames: 49
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resolution: 720p
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notes: State-of-the-art text-to-video generation
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- repo_id: stabilityai/stable-video-diffusion-img2vid
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description: SVD - 14 frame image-to-video
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size_gb: 8
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essential: true
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category: video
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format: fp16
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vram_gb: 20
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frames: 14
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resolution: 576x1024
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notes: Convert images to short video clips
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- repo_id: stabilityai/stable-video-diffusion-img2vid-xt
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description: SVD-XT - 25 frame image-to-video
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size_gb: 8
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essential: false
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category: video
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format: fp16
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vram_gb: 20
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frames: 25
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resolution: 576x1024
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notes: Extended frame count version
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# ==========================================================================
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# AUDIO GENERATION MODELS
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# ==========================================================================
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audio_models:
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- repo_id: facebook/musicgen-small
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description: MusicGen Small - Fast generation
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size_gb: 3
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essential: false
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category: audio
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format: fp32
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vram_gb: 4
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duration_seconds: 30
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notes: Fastest music generation, lower quality
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- repo_id: facebook/musicgen-medium
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description: MusicGen Medium - Balanced quality
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size_gb: 11
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essential: true
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category: audio
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format: fp32
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vram_gb: 8
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duration_seconds: 30
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notes: Best balance of speed and quality
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- repo_id: facebook/musicgen-large
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description: MusicGen Large - Highest quality
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size_gb: 22
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essential: false
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category: audio
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format: fp32
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vram_gb: 16
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duration_seconds: 30
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notes: Best quality, slower generation
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# ==========================================================================
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# SUPPORT MODELS (CLIP, IP-Adapter, etc.)
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# ==========================================================================
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support_models:
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- repo_id: openai/clip-vit-large-patch14
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description: CLIP H - For SD 1.5 IP-Adapter
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size_gb: 2
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essential: true
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category: support
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format: fp32
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vram_gb: 2
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notes: Text-image understanding model
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- repo_id: laion/CLIP-ViT-bigG-14-laion2B-39B-b160k
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description: CLIP G - For SDXL IP-Adapter
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size_gb: 7
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essential: true
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category: support
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format: fp32
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vram_gb: 4
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notes: Larger CLIP model for SDXL
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- repo_id: google/siglip-so400m-patch14-384
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description: SigLIP - For FLUX models
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size_gb: 2
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essential: true
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category: support
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format: fp32
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vram_gb: 2
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notes: Advanced image-text alignment
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# ============================================================================
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# STORAGE & VRAM SUMMARIES
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# ============================================================================
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storage_requirements:
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essential_only:
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image: 30 # FLUX Schnell + SDXL Base
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video: 28 # CogVideoX + SVD
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audio: 11 # MusicGen Medium
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support: 11 # All 3 CLIP models
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total: 80 # Total essential storage
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all_models:
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image: 54 # All image models
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video: 36 # All video models
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audio: 36 # All audio models
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support: 11 # All support models
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total: 137 # Total with optional models
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vram_requirements:
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# For 24GB GPU (RTX 4090)
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simultaneous_loadable:
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- name: Image Focus - FLUX FP16
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models: [FLUX.1 Schnell]
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vram_used: 23
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remaining: 1
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- name: Image Focus - FLUX FP8 + SDXL
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models: [FLUX.1 Schnell FP8, SDXL Base]
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vram_used: 24
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remaining: 0
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- name: Video Generation
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models: [CogVideoX-5B optimized, SDXL]
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vram_used: 24
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remaining: 0
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- name: Multi-Modal
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models: [SDXL, MusicGen Medium]
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vram_used: 20
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remaining: 4
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# ============================================================================
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# INSTALLATION PROFILES
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# ============================================================================
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installation_profiles:
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minimal:
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description: Minimal setup for testing
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categories: [support_models]
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storage_gb: 11
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estimated_time: 5-10 minutes
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essential:
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description: Essential models only (~80GB)
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categories: [image_models, video_models, audio_models, support_models]
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essential_only: true
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storage_gb: 80
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estimated_time: 1-2 hours
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image_focused:
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description: All image generation models
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categories: [image_models, support_models]
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storage_gb: 65
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estimated_time: 45-90 minutes
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video_focused:
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description: All video generation models
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categories: [video_models, image_models, support_models]
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essential_only: true
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storage_gb: 69
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estimated_time: 1-2 hours
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complete:
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description: All models (including optional)
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categories: [image_models, video_models, audio_models, support_models]
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storage_gb: 137
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estimated_time: 2-4 hours
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# ============================================================================
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# METADATA
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# ============================================================================
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metadata:
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version: 1.0.0
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last_updated: 2025-11-21
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compatible_with:
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- ComfyUI >= 0.1.0
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- Python >= 3.10
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- HuggingFace Hub >= 0.20.0
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maintainer: Valknar
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repository: https://github.com/yourusername/runpod
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