ComfyUI Node: TT Context

Authored by tenser-tensor

Created

Updated

0 stars

Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Category

TenserTensor/Context

Inputs

context TT_CONTEXT
workflow_config TT_WORKFLOW_CONFIG
model MODEL
clip CLIP
vae VAE
positive CONDITIONING
negative CONDITIONING
latent LATENT
image IMAGE
seed INT
steps INT
cfg FLOAT
sampler_name
  • euler
  • euler_cfg_pp
  • euler_ancestral
  • euler_ancestral_cfg_pp
  • heun
  • heunpp2
  • exp_heun_2_x0
  • exp_heun_2_x0_sde
  • dpm_2
  • dpm_2_ancestral
  • lms
  • dpm_fast
  • dpm_adaptive
  • dpmpp_2s_ancestral
  • dpmpp_2s_ancestral_cfg_pp
  • dpmpp_sde
  • dpmpp_sde_gpu
  • dpmpp_2m
  • dpmpp_2m_cfg_pp
  • dpmpp_2m_sde
  • dpmpp_2m_sde_gpu
  • dpmpp_2m_sde_heun
  • dpmpp_2m_sde_heun_gpu
  • dpmpp_3m_sde
  • dpmpp_3m_sde_gpu
  • ddpm
  • lcm
  • ipndm
  • ipndm_v
  • deis
  • res_multistep
  • res_multistep_cfg_pp
  • res_multistep_ancestral
  • res_multistep_ancestral_cfg_pp
  • gradient_estimation
  • gradient_estimation_cfg_pp
  • er_sde
  • seeds_2
  • seeds_3
  • sa_solver
  • sa_solver_pece
  • ddim
  • uni_pc
  • uni_pc_bh2
scheduler
  • simple
  • sgm_uniform
  • karras
  • exponential
  • ddim_uniform
  • beta
  • normal
  • linear_quadratic
  • kl_optimal

Outputs

TT_CONTEXT

TT_WORKFLOW_CONFIG

MODEL

CLIP

VAE

CONDITIONING

CONDITIONING

LATENT

IMAGE

INT

INT

FLOAT

eulereuler_cfg_ppeuler_ancestraleuler_ancestral_cfg_ppheunheunpp2exp_heun_2_x0exp_heun_2_x0_sdedpm_2dpm_2_ancestrallmsdpm_fastdpm_adaptivedpmpp_2s_ancestraldpmpp_2s_ancestral_cfg_ppdpmpp_sdedpmpp_sde_gpudpmpp_2mdpmpp_2m_cfg_ppdpmpp_2m_sdedpmpp_2m_sde_gpudpmpp_2m_sde_heundpmpp_2m_sde_heun_gpudpmpp_3m_sdedpmpp_3m_sde_gpuddpmlcmipndmipndm_vdeisres_multistepres_multistep_cfg_ppres_multistep_ancestralres_multistep_ancestral_cfg_ppgradient_estimationgradient_estimation_cfg_pper_sdeseeds_2seeds_3sa_solversa_solver_peceddimuni_pcuni_pc_bh2

simplesgm_uniformkarrasexponentialddim_uniformbetanormallinear_quadratickl_optimal

Extension: Tenser Tensor

A collection of custom nodes for ComfyUI that streamline common workflows. — All-in-one model loaders: checkpoint, LoRA, CLIP, VAE — GGUF quantized model support: FLUX, FLUX2, SDXL, SD3.5 — Workflow settings nodes for FLUX, SDXL, and SD3.5 — Latent factory with aspect ratio, megapixel, and automatic model format detection — Context nodes for passing pipeline state between nodes — CLIP text encoders for FLUX, SDXL, and SD3.5 — KSampler variants with guided sampling and step-by-step latent preview — VAE encoders and decoders: tiled and context-based — Image tools: load, resize, upscale, preview, save, ControlNet reference — Post-production: brightness, contrast, LUT color grading, film grain, upscaler

Authored by tenser-tensor

View Nodes

Looking for a different node?

More nodes in Tenser Tensor

Other TenserTensor/Context nodes

Run ComfyUI workflows without the setup

No installs, no CUDA version roulette, no GPU sitting idle on your bill. Bring a workflow and run it in the browser.

Learn more