TenserTensor
ee88f9be6c
Implement sampling nodes: - ksampler.py: standard sampler with basic parameters - ksampler_advanced.py: advanced sampler with step control and noise settings - ksampler_context.py: context-based sampler extracting parameters from workflow context - ksampler_two_stage.py: automated two-stage sampling (draft + refinement) Add markdown documentation for all sampler nodes
46 lines
3.1 KiB
Markdown
46 lines
3.1 KiB
Markdown
## TT_SdxlModelsLoaderAdvanced
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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 SDXL with checkpoint merging and LoRA support.
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### Inputs
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| Parameter | Type | Required | Description |
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|------------------|--------------|----------|-----------------------------------------------------------------|
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| `primary_ckpt` | CHECKPOINT | Yes | Primary SDXL checkpoint to load |
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| `secondary_ckpt` | CHECKPOINT | Yes | Secondary checkpoint to merge (select "None" to skip) |
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| `primary_weight` | FLOAT | Yes | Weight for primary checkpoint in merge (0.0-1.0, default: 1.0) |
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| `clip_l` | TEXT_ENCODER | Yes | CLIP-L text encoder model |
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| `clip_g` | TEXT_ENCODER | Yes | CLIP-G 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 model with applied LoRAs and optional merge |
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| `CLIP` | CLIP | Combined CLIP-L and CLIP-G text encoders with applied LoRAs |
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| `VAE` | VAE | Loaded VAE |
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### Usage
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Extended version of the SDXL loader with support for up to 4 LoRAs and additional VAE configuration options. Load all
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model components, optionally merge checkpoints, apply LoRAs sequentially, and configure device/dtype settings for CLIP
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and VAE. 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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