TenserTensor
5ef755411c
Flexible output node with toggle between preview and save modes, supporting PNG/JPEG/WEBP formats and customizable filename patterns
50 lines
4.1 KiB
Markdown
50 lines
4.1 KiB
Markdown
## TT FLUX Models Loader (Advanced) *TT_FluxModelsLoaderAdvanced*
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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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Extended all-in-one model loader for Flux with sampling patches, LoRA support, and advanced settings.
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### Inputs
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| Parameter | Type | Required | Description |
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|-----------------------|------------|----------|------------------------------------------------------------------------------------|
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| `unet_name` | CHECKPOINT | Yes | Flux checkpoint to load |
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| `unet_dtype` | STRING | Yes | U-Net data type: "default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2" - advanced |
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| `apply_sampling` | BOOLEAN | Yes | Apply sampling shift patch (default: True) |
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| `base_sampling_shift` | FLOAT | Yes | Base sampling shift value (0.0-100.0, default: 0.5) |
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| `max_sampling_shift` | FLOAT | Yes | Maximum sampling shift (0.0-100.0, default: 1.15) |
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| `sampling_width` | INT | Yes | Width for sampling shift calculation (16-MAX_RESOLUTION, step: 8, default: 1024) |
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| `sampling_height` | INT | Yes | Height for sampling shift calculation (16-MAX_RESOLUTION, step: 8, default: 1024) |
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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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| `lora_name_1` | LORA | Yes | First LoRA to apply (select "None" to skip) |
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| `strength_1` | FLOAT | Yes | Strength for first LoRA (-10.0 to 10.0, default: 1.0) |
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| `lora_name_2` | LORA | Yes | Second LoRA to apply (select "None" to skip) |
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| `strength_2` | FLOAT | Yes | Strength for second LoRA (-10.0 to 10.0, default: 1.0) |
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| `lora_name_3` | LORA | Yes | Third LoRA to apply (select "None" to skip) |
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| `strength_3` | FLOAT | Yes | Strength for third LoRA (-10.0 to 10.0, default: 1.0) |
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| `lora_name_4` | LORA | Yes | Fourth LoRA to apply (select "None" to skip) |
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| `strength_4` | FLOAT | Yes | Strength for fourth LoRA (-10.0 to 10.0, default: 1.0) |
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| `vae_name` | VAE | Yes | VAE model to load |
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| `vae_device` | STRING | Yes | Device for VAE ("default" or "cpu") - advanced |
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| `vae_dtype` | STRING | Yes | Data type for VAE ("bfloat16", "float16", "float32") - advanced |
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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 with applied patches and LoRAs |
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| `CLIP` | CLIP | Combined CLIP-L and T5-XXL text encoders with applied LoRAs |
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| `VAE` | VAE | Loaded VAE |
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### Usage
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Extended Flux loader with optional sampling shift patching for improved high-resolution generation, support for up to 4
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LoRAs, and advanced VAE configuration. The sampling shift patch adjusts noise scheduling based on image dimensions.
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LoRAs are cached for efficiency.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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