FLUX models need to be in /workspace/ComfyUI/models/unet/ directory
for UNETLoader to find them, not in diffusion_models directory.
Changed type for:
- black-forest-labs/FLUX.1-schnell
- black-forest-labs/FLUX.1-dev
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Co-Authored-By: Claude <noreply@anthropic.com>
- Replace DiffusersLoader with ImageOnlyCheckpointLoader
- Replace SVDSampler with SVD_img2vid_Conditioning + KSampler
- Add VideoLinearCFGGuidance for temporal consistency
- Add all node connections in links array
- Configure VHS_VideoCombine with correct parameters (25 frames)
- Increase steps to 30 for better quality with longer video
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Co-Authored-By: Claude <noreply@anthropic.com>
Remove format-specific parameters from widgets_values array.
Only base parameters should be in widgets_values:
- frame_rate, loop_count, filename_prefix, format, pingpong, save_output
Format-specific params (pix_fmt, crf) are added dynamically by ComfyUI.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Replace DiffusersLoader with ImageOnlyCheckpointLoader
- Replace SVDSampler with SVD_img2vid_Conditioning + KSampler
- Add VideoLinearCFGGuidance for temporal consistency
- Add all node connections in links array
- Configure VHS_VideoCombine with H.264 parameters
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Co-Authored-By: Claude <noreply@anthropic.com>
- CogVideoX-5b-I2V requires specific resolution (720x480)
- Cannot generate videos at different resolutions
- Update placeholder image to match model requirements
- Add enable_sequential_cpu_offload=true to DownloadAndLoadCogVideoModel
- Reduces VRAM from ~20GB to ~12GB at cost of slower inference
- Widget values: [model, precision, quantization, cpu_offload] = ['THUDM/CogVideoX-5b-I2V', 'bf16', 'disabled', true]
- Necessary for 24GB GPU with other services running
- Create 1024x1024 white placeholder with 'Input Frame' text
- Allows workflow validation without external image upload
- Will be replaced by API input in production use
- Add THUDM/CogVideoX-5b-I2V model entry (20GB, I2V-specific model)
- Add T5-XXL FP16 text encoder for CogVideoX (9GB)
- Add CLIP-L text encoder for CogVideoX and SD3 (1GB)
- Add CLIP-G text encoder for SD3 (3GB)
Note: CogVideoX models are auto-downloaded by DownloadAndLoadCogVideoModel node
Text encoders already linked manually to /workspace/ComfyUI/models/text_encoders/
- Change checkpoint from 'diffusers/stable-diffusion-xl-base-1.0' to 'sd_xl_base_1.0.safetensors'
- Change IPAdapter weight_type from 'original' to 'style transfer' (valid option)
- Fixes validation errors: invalid checkpoint name and invalid weight_type
- Change from 'source venv/bin/activate' to direct venv/bin/python execution
- Use exec to replace shell process with Python process
- Fixes issue where supervisor doesn't properly activate venv
- Ensures all extension dependencies are available
Added setup/comfyui-extensions-deps script that:
- Iterates through all custom_nodes directories
- Installs requirements.txt for each extension into ComfyUI venv
- Provides count of installed/skipped extensions
- Ensures all extension dependencies are met
This makes deployment reproducible and ensures all extensions
load without import errors.
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Co-Authored-By: Claude <noreply@anthropic.com>
- GitPython: for ComfyUI-Manager git operations
- opencv-python-headless: for image processing in extensions
- insightface: for face detection/recognition
- onnxruntime: for InsightFace models
- pyyaml: for config file parsing
- imageio-ffmpeg: for VideoHelperSuite
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Co-Authored-By: Claude <noreply@anthropic.com>
Change CLIP vision model from ViT-H to ViT-bigG to match the
VIT-G preset in IPAdapterUnifiedLoader. This fixes dimension
mismatch error (1280 vs 768).
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Co-Authored-By: Claude <noreply@anthropic.com>
All services now use directory=. with relative paths in command,
matching the comfyui service configuration pattern.
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Co-Authored-By: Claude <noreply@anthropic.com>
Update supervisor configuration to use correct relative paths when
working directory is set to service subdirectory.
Changes:
- orchestrator: change to model-orchestrator directory, use venv/bin/python
- webdav-sync: already in webdav-sync directory, use venv/bin/python
This fixes "ENOENT" errors when supervisor tries to exec the python
interpreter from the virtual environment.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Update supervisord.conf to use venv Python executables for orchestrator and webdav-sync
- Add virtual environment setup to arty.yml setup/python-env script
- Isolate dependencies for webdav-sync, model-orchestrator, and vllm services
- Fixes dependency conflicts between services (pydantic versions)
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Co-Authored-By: Claude <noreply@anthropic.com>
- Change CLIP H from h94/IP-Adapter to openai/clip-vit-large-patch14
- Change CLIP G from h94/IP-Adapter to laion/CLIP-ViT-bigG-14-laion2B-39B-b160k
- Update source paths to model.safetensors and open_clip_model.safetensors
- Fixes "header too large" error when loading CLIP vision models
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed CLIP Vision model source from openai/laion repos to h94/IP-Adapter
which provides the models in proper safetensors format that CLIPVisionLoader
can load directly.
Model sources:
- CLIP-ViT-H (SD 1.5): models/image_encoder/model.safetensors
- CLIP-ViT-bigG (SDXL): sdxl_models/image_encoder/model.safetensors
This fixes the "header too large" deserialization error caused by trying
to load PyTorch .bin files as safetensors.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
CLIPVisionLoader validates against a list of .safetensors files only.
Changed CLIP Vision model extensions from .bin back to .safetensors
in both the model configuration and workflow files.
Note: The actual files are PyTorch .bin format, but ComfyUI's
CLIPVisionLoader expects .safetensors naming convention. The symlinks
will point to the .bin files but use .safetensors extensions.
Changes:
- comfyui_models.yaml: Changed dest extensions to .safetensors
- Workflows: Changed clip_name to .safetensors extension
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
IPAdapterAdvanced requires a direct CLIPVision input, unlike the basic
IPAdapter node. Added CLIPVisionLoader nodes to both workflows:
Face workflow:
- Added CLIPVisionLoader (node 12) loading CLIP-ViT-bigG-14
- Connected to IPAdapterAdvanced (node 4) via link 20
Composition workflow:
- Added CLIPVisionLoader (node 15) loading CLIP-ViT-bigG-14
- Connected to both IPAdapterAdvanced nodes (6 and 7) via links 25 and 26
This provides the required CLIP Vision model for image understanding
in the IP-Adapter processing pipeline.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed both IPAdapter nodes to IPAdapterAdvanced for better control
and consistency with the face workflow. IPAdapterAdvanced provides
additional parameters for fine-tuning the adapter behavior.
Updated widget values for both nodes:
- weight: 0.6/0.5 (composition influence strength)
- noise: 0.0
- weight_type: "ease in-out"
- combine_embeds: 1.0
- start_at: 0.0
- end_at: 1.0
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed node type from IPAdapterFaceID to IPAdapterAdvanced to work
with VIT-G preset. IPAdapterFaceID requires specialized face detection
models, while IPAdapterAdvanced works with the standard IP-Adapter
models loaded by IPAdapterUnifiedLoader.
Updated widget values to match IPAdapterAdvanced parameters:
- weight: 0.85 (face similarity strength)
- noise: 0.0
- weight_type: "ease in-out"
- combine_embeds: 1.0
- start_at: 0.0
- end_at: 1.0
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed CLIP Vision model destination filenames from .safetensors to .bin
to match actual PyTorch model format. The files are ZIP/pickle format with
'PK' magic bytes, not safetensors format, which was causing "header too large"
deserialization errors in ComfyUI IPAdapterUnifiedLoader.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed destination filename to CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors
to match the pattern expected by IPAdapterUnifiedLoader for SD1.5 models.
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Co-Authored-By: Claude <noreply@anthropic.com>
Changed from PLUS/PLUS FACE presets to VIT-G preset because:
- VIT-G preset is specifically designed for SDXL models
- It correctly maps to the ViT-bigG CLIP Vision model
- PLUS presets default to SD1.5 CLIP Vision models
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed from "FACE" to "PLUS FACE (portraits)" to match the exact
preset name expected by IPAdapterUnifiedLoader.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Changed CLIP-ViT-bigG destination filename to match the exact name
expected by IPAdapterUnifiedLoader: CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Restored original IP-Adapter presets now that models are available:
- ipadapter-composition-i2i-production-v1.json: Changed both loaders to "PLUS (high strength)"
- ipadapter-face-i2i-production-v1.json: Changed loader to "FACE"
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Co-Authored-By: Claude <noreply@anthropic.com>
Added two additional IP-Adapter variants:
- ip-adapter-plus_sdxl_vit-h.safetensors (0.9 GB) - High strength composition
- ip-adapter-plus-face_sdxl_vit-h.safetensors (0.5 GB) - Face-focused generation
These enable the PLUS and FACE presets in IPAdapterUnifiedLoader.
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Co-Authored-By: Claude <noreply@anthropic.com>
Changed from PLUS/FACE presets to STANDARD preset which works with
the basic ip-adapter_sdxl.safetensors model currently installed.
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Co-Authored-By: Claude <noreply@anthropic.com>
IPAdapterUnifiedLoader only accepts model input, not clip.
Removed CLIP connections from both workflows.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Node 5 (IPAdapterUnifiedLoader) MODEL output should not connect to Node 7.
The chain is: Node 6 IPAdapter output -> Node 7 IPAdapter input[0].
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Co-Authored-By: Claude <noreply@anthropic.com>
- Changed checkpoint name from 'diffusers/stable-diffusion-xl-base-1.0' to 'sd_xl_base_1.0.safetensors'
- Fixed IPAdapter end_at parameter from string "original" to float 1.0
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Fixed node structure for both workflows by adding:
- Input connections for each node that receives data
- Output connections with link references
- Proper link arrays matching the node connections
This ensures workflows load correctly in ComfyUI with complete graph connectivity.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Added proper node connections (links array) for both workflows:
- ipadapter-composition-i2i-production-v1.json: 21 links connecting dual IP-Adapter chain
- ipadapter-face-i2i-production-v1.json: 15 links connecting face IP-Adapter chain
The workflows now have complete node graphs that will load and execute properly in ComfyUI.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
