76 lines
5.6 KiB
Markdown
76 lines
5.6 KiB
Markdown
## TT SDXL Large Context *TT_LargeContextSdxl*
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⚠️ Deprecated: This node will be removed in a future major release. Please migrate to the new context nodes.
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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 context node for SDXL workflows with CLIP-L/G conditioning and aesthetic score inputs.
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### Inputs
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| Parameter | Type | Required | Description |
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|-------------------|--------------------|----------|-----------------------------------------------------------|
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| `context` | TT_CONTEXT | No | Existing context to modify (if not provided, creates new) |
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| `workflow_config` | TT_WORKFLOW_CONFIG | No | Workflow configuration settings |
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| `model` | MODEL | No | The diffusion model (UNet/DiT) |
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| `clip` | CLIP | No | CLIP text encoder |
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| `vae` | VAE | No | VAE for encoding/decoding |
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| `positive` | CONDITIONING | No | Positive conditioning |
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| `negative` | CONDITIONING | No | Negative conditioning |
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| `latent` | LATENT | No | Latent image tensor |
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| `image` | IMAGE | No | Image tensor |
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| `seed` | INT | No | Random seed |
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| `steps` | INT | No | Sampling steps |
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| `cfg` | FLOAT | No | Classifier-free guidance scale |
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| `sampler_name` | COMBO | No | Sampler name |
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| `scheduler` | COMBO | No | Scheduler name |
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| `guidance` | FLOAT | No | SDXL guidance value |
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| `clip_l_positive` | STRING | No | CLIP-L positive prompt |
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| `clip_g_positive` | STRING | No | CLIP-G positive prompt |
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| `clip_l_negative` | STRING | No | CLIP-L negative prompt |
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| `clip_g_negative` | STRING | No | CLIP-G negative prompt |
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| `ascore_positive` | FLOAT | No | Aesthetic score for positive |
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| `ascore_negative` | FLOAT | No | Aesthetic score for negative |
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| `width` | INT | No | Image width |
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| `height` | INT | No | Image height |
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| `target_width` | INT | No | Target width for conditioning |
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| `target_height` | INT | No | Target height for conditioning |
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### Outputs
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| Parameter | Type | Description |
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|-------------------|--------------------|-----------------------------|
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| `CONTEXT` | TT_CONTEXT | Created or modified context |
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| `WORKFLOW_CONFIG` | TT_WORKFLOW_CONFIG | Workflow configuration |
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| `MODEL` | MODEL | Diffusion model |
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| `CLIP` | CLIP | Text encoder |
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| `VAE` | VAE | VAE |
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| `POSITIVE` | CONDITIONING | Positive conditioning |
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| `NEGATIVE` | CONDITIONING | Negative conditioning |
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| `LATENT` | LATENT | Latent tensor |
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| `IMAGE` | IMAGE | Image tensor |
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| `SEED` | INT | Random seed |
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| `STEPS` | INT | Sampling steps |
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| `CFG` | FLOAT | CFG scale |
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| `SAMPLER_NAME` | COMBO | Sampler name |
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| `SCHEDULER` | COMBO | Scheduler name |
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| `GUIDANCE` | FLOAT | SDXL guidance |
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| `CLIP_L_POSITIVE` | STRING | CLIP-L positive |
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| `CLIP_G_POSITIVE` | STRING | CLIP-G positive |
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| `CLIP_L_NEGATIVE` | STRING | CLIP-L negative |
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| `CLIP_G_NEGATIVE` | STRING | CLIP-G negative |
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| `ASCORE_POSITIVE` | FLOAT | Aesthetic score positive |
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| `ASCORE_NEGATIVE` | FLOAT | Aesthetic score negative |
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| `WIDTH` | INT | Width |
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| `HEIGHT` | INT | Height |
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| `TARGET_WIDTH` | INT | Target width |
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| `TARGET_HEIGHT` | INT | Target height |
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### Usage
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Use this node for SDXL workflows when you need separate control over CLIP-L and CLIP-G prompts, aesthetic scores, and
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target dimensions for conditioning.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor) |