Implement Flux loading nodes: - flux_models_loader.py: basic all-in-one loader for Flux - flux_models_loader_advanced.py: extended loader with sampling shift patch, 4 LoRA slots, and advanced VAE/CLIP settings Add markdown documentation for both nodes
33 lines
1.4 KiB
Markdown
33 lines
1.4 KiB
Markdown
## TT FLUX Models Loader *TT_FluxModelsLoader*
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*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
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All-in-one model loader for Flux workflows.
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### Inputs
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| Parameter | Type | Required | Description |
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|---------------|------------|----------|-------------------------------------------------|
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| `ckpt_name` | CHECKPOINT | Yes | Flux checkpoint to load |
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| `clip_l` | STRING | Yes | CLIP-L text encoder model |
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| `t5xxl` | STRING | Yes | T5-XXL text encoder model |
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| `clip_device` | STRING | Yes | Device for CLIP ("default" or "cpu") - advanced |
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| `vae_name` | VAE | Yes | VAE model to load |
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### Outputs
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| Parameter | Type | Description |
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|-----------|-------|------------------------------------------|
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| `MODEL` | MODEL | Loaded Flux model |
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| `CLIP` | CLIP | Combined CLIP-L and T5-XXL text encoders |
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| `VAE` | VAE | Loaded VAE |
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### Usage
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Load all Flux model components in one place. Combines CLIP-L and T5-XXL encoders into a dual CLIP for Flux's text
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conditioning system.
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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