TenserTensor
22c3d146bd
Implement post-production processing nodes: - add_film_grain.py: procedural film grain effect - apply_lut.py: LUT-based color grading - image_enhancer.py: comprehensive image adjustments (brightness, contrast, gamma, hue, saturation, sharpness, posterize, solarize) - postproduction.py: all-in-one pipeline (LUT + film grain + upscaling) - postproduction_advanced.py: extended pipeline with image enhancement controls - quick_image_upscaler.py: simple tiled AI upscaler Add markdown documentation for all post-production nodes
46 lines
3.2 KiB
Markdown
46 lines
3.2 KiB
Markdown
## TT SDXL Models Loader (Advanced) *TT_SdxlModelsLoaderAdvanced*
|
|
|
|
*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 SDXL with checkpoint merging and LoRA support.
|
|
|
|
### Inputs
|
|
|
|
| Parameter | Type | Required | Description |
|
|
|------------------|--------------|----------|-----------------------------------------------------------------|
|
|
| `primary_ckpt` | CHECKPOINT | Yes | Primary SDXL checkpoint to load |
|
|
| `secondary_ckpt` | CHECKPOINT | Yes | Secondary checkpoint to merge (select "None" to skip) |
|
|
| `primary_weight` | FLOAT | Yes | Weight for primary checkpoint in merge (0.0-1.0, default: 1.0) |
|
|
| `clip_l` | TEXT_ENCODER | Yes | CLIP-L text encoder model |
|
|
| `clip_g` | TEXT_ENCODER | Yes | CLIP-G 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 model with applied LoRAs and optional merge |
|
|
| `CLIP` | CLIP | Combined CLIP-L and CLIP-G text encoders with applied LoRAs |
|
|
| `VAE` | VAE | Loaded VAE |
|
|
|
|
### Usage
|
|
|
|
Extended version of the SDXL loader with support for up to 4 LoRAs and additional VAE configuration options. Load all
|
|
model components, optionally merge checkpoints, apply LoRAs sequentially, and configure device/dtype settings for CLIP
|
|
and VAE. LoRAs are cached for efficiency.
|
|
|
|
---
|
|
|
|
[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
|