TenserTensor
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Flexible output node with toggle between preview and save modes, supporting PNG/JPEG/WEBP formats and customizable filename patterns
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4.1 KiB
TT FLUX Models Loader (Advanced) TT_FluxModelsLoaderAdvanced
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Extended all-in-one model loader for Flux with sampling patches, LoRA support, and advanced settings.
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
unet_name |
CHECKPOINT | Yes | Flux checkpoint to load |
unet_dtype |
STRING | Yes | U-Net data type: "default", "fp8_e4m3fn", "fp8_e4m3fn_fast", "fp8_e5m2" - advanced |
apply_sampling |
BOOLEAN | Yes | Apply sampling shift patch (default: True) |
base_sampling_shift |
FLOAT | Yes | Base sampling shift value (0.0-100.0, default: 0.5) |
max_sampling_shift |
FLOAT | Yes | Maximum sampling shift (0.0-100.0, default: 1.15) |
sampling_width |
INT | Yes | Width for sampling shift calculation (16-MAX_RESOLUTION, step: 8, default: 1024) |
sampling_height |
INT | Yes | Height for sampling shift calculation (16-MAX_RESOLUTION, step: 8, default: 1024) |
clip_l |
STRING | Yes | CLIP-L text encoder model |
t5xxl |
STRING | Yes | T5-XXL text encoder model |
clip_device |
STRING | Yes | Device for CLIP ("default" or "cpu") - advanced |
lora_name_1 |
LORA | Yes | First LoRA to apply (select "None" to skip) |
strength_1 |
FLOAT | Yes | Strength for first LoRA (-10.0 to 10.0, default: 1.0) |
lora_name_2 |
LORA | Yes | Second LoRA to apply (select "None" to skip) |
strength_2 |
FLOAT | Yes | Strength for second LoRA (-10.0 to 10.0, default: 1.0) |
lora_name_3 |
LORA | Yes | Third LoRA to apply (select "None" to skip) |
strength_3 |
FLOAT | Yes | Strength for third LoRA (-10.0 to 10.0, default: 1.0) |
lora_name_4 |
LORA | Yes | Fourth LoRA to apply (select "None" to skip) |
strength_4 |
FLOAT | Yes | Strength for fourth LoRA (-10.0 to 10.0, default: 1.0) |
vae_name |
VAE | Yes | VAE model to load |
vae_device |
STRING | Yes | Device for VAE ("default" or "cpu") - advanced |
vae_dtype |
STRING | Yes | Data type for VAE ("bfloat16", "float16", "float32") - advanced |
Outputs
| Parameter | Type | Description |
|---|---|---|
MODEL |
MODEL | Loaded Flux model with applied patches and LoRAs |
CLIP |
CLIP | Combined CLIP-L and T5-XXL text encoders with applied LoRAs |
VAE |
VAE | Loaded VAE |
Usage
Extended Flux loader with optional sampling shift patching for improved high-resolution generation, support for up to 4 LoRAs, and advanced VAE configuration. The sampling shift patch adjusts noise scheduling based on image dimensions. LoRAs are cached for efficiency.