tenser-tensor-ComfyUI-TenserTensor/web/docs/TT_LargeContextSdxl.md

TT SDXL Large Context TT_LargeContextSdxl

⚠️ Deprecated: This node will be removed in a future major release. Please migrate to the new context nodes.

This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.

Extended context node for SDXL workflows with CLIP-L/G conditioning and aesthetic score inputs.

Inputs

Parameter	Type	Required	Description
context	TT_CONTEXT	No	Existing context to modify (if not provided, creates new)
workflow_config	TT_WORKFLOW_CONFIG	No	Workflow configuration settings
model	MODEL	No	The diffusion model (UNet/DiT)
clip	CLIP	No	CLIP text encoder
vae	VAE	No	VAE for encoding/decoding
positive	CONDITIONING	No	Positive conditioning
negative	CONDITIONING	No	Negative conditioning
latent	LATENT	No	Latent image tensor
image	IMAGE	No	Image tensor
seed	INT	No	Random seed
steps	INT	No	Sampling steps
cfg	FLOAT	No	Classifier-free guidance scale
sampler_name	COMBO	No	Sampler name
scheduler	COMBO	No	Scheduler name
guidance	FLOAT	No	SDXL guidance value
clip_l_positive	STRING	No	CLIP-L positive prompt
clip_g_positive	STRING	No	CLIP-G positive prompt
clip_l_negative	STRING	No	CLIP-L negative prompt
clip_g_negative	STRING	No	CLIP-G negative prompt
ascore_positive	FLOAT	No	Aesthetic score for positive
ascore_negative	FLOAT	No	Aesthetic score for negative
width	INT	No	Image width
height	INT	No	Image height
target_width	INT	No	Target width for conditioning
target_height	INT	No	Target height for conditioning

Outputs

Parameter	Type	Description
CONTEXT	TT_CONTEXT	Created or modified context
WORKFLOW_CONFIG	TT_WORKFLOW_CONFIG	Workflow configuration
MODEL	MODEL	Diffusion model
CLIP	CLIP	Text encoder
VAE	VAE	VAE
POSITIVE	CONDITIONING	Positive conditioning
NEGATIVE	CONDITIONING	Negative conditioning
LATENT	LATENT	Latent tensor
IMAGE	IMAGE	Image tensor
SEED	INT	Random seed
STEPS	INT	Sampling steps
CFG	FLOAT	CFG scale
SAMPLER_NAME	COMBO	Sampler name
SCHEDULER	COMBO	Scheduler name
GUIDANCE	FLOAT	SDXL guidance
CLIP_L_POSITIVE	STRING	CLIP-L positive
CLIP_G_POSITIVE	STRING	CLIP-G positive
CLIP_L_NEGATIVE	STRING	CLIP-L negative
CLIP_G_NEGATIVE	STRING	CLIP-G negative
ASCORE_POSITIVE	FLOAT	Aesthetic score positive
ASCORE_NEGATIVE	FLOAT	Aesthetic score negative
WIDTH	INT	Width
HEIGHT	INT	Height
TARGET_WIDTH	INT	Target width
TARGET_HEIGHT	INT	Target height

Usage

Use this node for SDXL workflows when you need separate control over CLIP-L and CLIP-G prompts, aesthetic scores, and target dimensions for conditioning.

---

View on GitHub