feat: add explicit file mappings to comfyui_models.yaml
- Added 'files' array to all models specifying source and destination filenames - Image models (FLUX, SDXL, SD 3.5): Use original checkpoint filenames - Video models (CogVideoX, SVD): Use descriptive filenames - Audio models (MusicGen): Prefix with model name for clarity - Support models (CLIP, IP-Adapter, AnimateDiff): Keep original names - This allows precise control over linked filenames in ComfyUI 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -36,6 +36,9 @@ model_categories:
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format: fp16
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format: fp16
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vram_gb: 23
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vram_gb: 23
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notes: Industry-leading image generation quality
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notes: Industry-leading image generation quality
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files:
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- source: "flux1-schnell.safetensors"
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dest: "flux1-schnell.safetensors"
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- repo_id: black-forest-labs/FLUX.1-dev
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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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description: FLUX.1 Dev - Balanced quality/speed
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@@ -46,6 +49,9 @@ model_categories:
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format: fp16
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format: fp16
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vram_gb: 23
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vram_gb: 23
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notes: Development version with enhanced features
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notes: Development version with enhanced features
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files:
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- source: "flux1-dev.safetensors"
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dest: "flux1-dev.safetensors"
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- repo_id: stabilityai/stable-diffusion-xl-base-1.0
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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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description: SDXL Base 1.0 - Industry standard
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@@ -56,6 +62,9 @@ model_categories:
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format: fp16
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format: fp16
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vram_gb: 12
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vram_gb: 12
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notes: Most widely used Stable Diffusion model
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notes: Most widely used Stable Diffusion model
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files:
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- source: "sd_xl_base_1.0.safetensors"
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dest: "sd_xl_base_1.0.safetensors"
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- repo_id: stabilityai/stable-diffusion-xl-refiner-1.0
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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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description: SDXL Refiner 1.0 - Enhances base output
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@@ -66,6 +75,9 @@ model_categories:
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format: fp16
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format: fp16
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vram_gb: 12
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vram_gb: 12
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notes: Use after SDXL base for improved details
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notes: Use after SDXL base for improved details
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files:
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- source: "sd_xl_refiner_1.0.safetensors"
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dest: "sd_xl_refiner_1.0.safetensors"
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- repo_id: stabilityai/stable-diffusion-3.5-large
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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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description: SD 3.5 Large - Latest Stability AI
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@@ -76,6 +88,9 @@ model_categories:
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format: fp16
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format: fp16
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vram_gb: 20
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vram_gb: 20
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notes: Newest generation Stable Diffusion
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notes: Newest generation Stable Diffusion
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files:
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- source: "sd3.5_large.safetensors"
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dest: "sd3.5_large.safetensors"
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# ==========================================================================
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# ==========================================================================
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# VIDEO GENERATION MODELS
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# VIDEO GENERATION MODELS
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@@ -92,6 +107,9 @@ model_categories:
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frames: 49
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frames: 49
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resolution: 720p
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resolution: 720p
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notes: State-of-the-art text-to-video generation
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notes: State-of-the-art text-to-video generation
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files:
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- source: "transformer/diffusion_pytorch_model.safetensors"
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dest: "cogvideox-5b-transformer.safetensors"
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- repo_id: stabilityai/stable-video-diffusion-img2vid
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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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description: SVD - 14 frame image-to-video
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@@ -104,6 +122,9 @@ model_categories:
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frames: 14
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frames: 14
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resolution: 576x1024
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resolution: 576x1024
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notes: Convert images to short video clips
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notes: Convert images to short video clips
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files:
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- source: "svd.safetensors"
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dest: "svd.safetensors"
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- repo_id: stabilityai/stable-video-diffusion-img2vid-xt
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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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description: SVD-XT - 25 frame image-to-video
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@@ -116,6 +137,9 @@ model_categories:
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frames: 25
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frames: 25
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resolution: 576x1024
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resolution: 576x1024
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notes: Extended frame count version
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notes: Extended frame count version
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files:
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- source: "svd_xt.safetensors"
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dest: "svd_xt.safetensors"
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# ==========================================================================
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# ==========================================================================
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# AUDIO GENERATION MODELS
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# AUDIO GENERATION MODELS
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@@ -131,6 +155,9 @@ model_categories:
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vram_gb: 4
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vram_gb: 4
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duration_seconds: 30
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duration_seconds: 30
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notes: Fastest music generation, lower quality
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notes: Fastest music generation, lower quality
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files:
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- source: "pytorch_model.bin"
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dest: "musicgen-small-pytorch_model.bin"
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- repo_id: facebook/musicgen-medium
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- repo_id: facebook/musicgen-medium
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description: MusicGen Medium - Balanced quality
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description: MusicGen Medium - Balanced quality
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@@ -142,6 +169,9 @@ model_categories:
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vram_gb: 8
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vram_gb: 8
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duration_seconds: 30
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duration_seconds: 30
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notes: Best balance of speed and quality
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notes: Best balance of speed and quality
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files:
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- source: "pytorch_model.bin"
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dest: "musicgen-medium-pytorch_model.bin"
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- repo_id: facebook/musicgen-large
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- repo_id: facebook/musicgen-large
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description: MusicGen Large - Highest quality
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description: MusicGen Large - Highest quality
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@@ -153,6 +183,9 @@ model_categories:
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vram_gb: 16
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vram_gb: 16
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duration_seconds: 30
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duration_seconds: 30
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notes: Best quality, slower generation
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notes: Best quality, slower generation
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files:
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- source: "pytorch_model.bin"
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dest: "musicgen-large-pytorch_model.bin"
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# ==========================================================================
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# ==========================================================================
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# SUPPORT MODELS (CLIP, IP-Adapter, etc.)
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# SUPPORT MODELS (CLIP, IP-Adapter, etc.)
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@@ -167,6 +200,9 @@ model_categories:
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format: fp32
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format: fp32
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vram_gb: 2
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vram_gb: 2
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notes: Text-image understanding model
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notes: Text-image understanding model
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files:
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- source: "pytorch_model.bin"
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dest: "clip-vit-large-patch14.bin"
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- repo_id: laion/CLIP-ViT-bigG-14-laion2B-39B-b160k
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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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description: CLIP G - For SDXL IP-Adapter
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@@ -177,6 +213,9 @@ model_categories:
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format: fp32
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format: fp32
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vram_gb: 4
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vram_gb: 4
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notes: Larger CLIP model for SDXL
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notes: Larger CLIP model for SDXL
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files:
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- source: "open_clip_pytorch_model.bin"
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dest: "clip-vit-bigg-14.bin"
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- repo_id: google/siglip-so400m-patch14-384
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- repo_id: google/siglip-so400m-patch14-384
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description: SigLIP - For FLUX models
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description: SigLIP - For FLUX models
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@@ -187,6 +226,9 @@ model_categories:
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format: fp32
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format: fp32
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vram_gb: 2
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vram_gb: 2
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notes: Advanced image-text alignment
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notes: Advanced image-text alignment
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files:
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- source: "model.safetensors"
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dest: "siglip-so400m-patch14-384.safetensors"
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# ==========================================================================
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# ==========================================================================
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# ANIMATEDIFF MODELS
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# ANIMATEDIFF MODELS
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@@ -202,6 +244,9 @@ model_categories:
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format: safetensors
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format: safetensors
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vram_gb: 4
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vram_gb: 4
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notes: Motion modules for AnimateDiff text-to-video
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notes: Motion modules for AnimateDiff text-to-video
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files:
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- source: "mm_sd_v15_v2.ckpt"
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dest: "mm_sd_v15_v2.ckpt"
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# ==========================================================================
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# ==========================================================================
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# IP-ADAPTER MODELS
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# IP-ADAPTER MODELS
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@@ -216,6 +261,9 @@ model_categories:
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format: safetensors
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format: safetensors
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vram_gb: 4
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vram_gb: 4
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notes: Image prompt adapters for style transfer
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notes: Image prompt adapters for style transfer
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files:
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- source: "sdxl_models/ip-adapter_sdxl.safetensors"
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dest: "ip-adapter_sdxl.safetensors"
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# ============================================================================
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# ============================================================================
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# STORAGE & VRAM SUMMARIES
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# STORAGE & VRAM SUMMARIES
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