ComfyUI Extension: Tenser Tensor
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.
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
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Custom Nodes (36)
- TT Add Film Grain
- TT Apply LUT
- TT Base Context
- TT CLIP Text Encode FLUX
- TT CLIP Text Encode FLUX (Context)
- TT CLIP Text Encode SDXL
- TT CLIP Text Encode SDXL (Context)
- TT Context
- TT Context Passthrough
- TT Context Set Image
- TT Context Set Latent
- TT Even Larger Context
- TT FLUX Models Loader
- TT FLUX Models Loader (Advanced)
- TT FLUX Workflow Settings
- TT FLUX Workflow Settings (Advanced)
- TT Image Enhancer
- TT Image Preview / Save
- TT KSampler
- TT KSampler (Advanced)
- TT KSampler (Context)
- TT KSampler (Two Stages)
- TT FLUX Large Context
- TT SDXL Large Context
- TT Latent Factory
- TT Postproduction
- TT Postproduction (Advanced)
- TT Quick Image Upscaler
- TT SDXL Models Loader
- TT SDXL Models Loader (Advanced)
- TT SDXL Workflow Settings
- TT SDXL Workflow Settings (Advanced)
- TT VAE Decode (Context)
- TT VAE Decode (Tiled)
- TT Vae Encode (Context)
- TT Vae Encode (Tiled)
README
ComfyUI-TenserTensor
Eight, sir; seven, sir;
Six, sir; five, sir;
Four, sir; Three, sir;
Two, sir; one!
Tenser, said the Tensor.
Tenser, said the Tensor.
Tension, apprehension,
And dissension have begun.
— Alfred Bester, The Demolished Man
A collection of custom nodes for ComfyUI that streamline common workflows. The main goal is to reduce visual clutter by combining frequently used node chains into single, convenient loaders.
[!IMPORTANT]
⚠️ Note: All legacy nodes have been migrated to ComfyUI API V3.
V1 nodes are marked as deprecated and will be removed in a future major release.
Features
- Workflow settings — configure global workflow parameters for FLUX, SDXL, and SD3.5
- Model loaders — all-in-one loaders for checkpoint, LoRA, CLIP, and VAE; GGUF support for FLUX2 and SD3.5
- Context nodes — pass pipeline state between nodes as a single context object
- Latent factory — create latents with aspect ratio, megapixel, and orientation selection; automatic format detection from model
- CLIP text encoders — prompt encoding with model-specific controls for FLUX, SDXL, and SD3.5
- Samplers — KSampler variants including guided sampling with Guider/Sigmas support and step-by-step latent preview
- Image tools — load, resize, upscale, preview, save, and reference images for ControlNet
- VAE — encode and decode with tiled and context-based variants
- Post-production — brightness, contrast, saturation, LUT, film grain, and upscaling
Installation
[!IMPORTANT]
Ensure your ComfyUI version is recent enough to properly support custom operations when loading UNET-only models.
1. Via Git Clone (recommended)
cd ComfyUI/custom_nodes
git clone https://github.com/tenser-tensor/ComfyUI-TenserTensor
2. Via ComfyUI-Manager
- Open ComfyUI-Manager
- Click "Install Custom Nodes"
- Search for: TenserTensor
- Install → Restart ComfyUI
3. Via comfy-cli
comfy node install tenser-tensor/ComfyUI-TenserTensor
Restart ComfyUI after installation.
Acknowledgments
This project uses GGUF file handling code from City96.
Great thanks and appreciation for your excellent work!
Additional
[!NOTE]
⚠️ Custom Type Compatibility Notice: The custom data typesTT_CONTEXTandTT_WORKFLOW_CONFIGare proprietary to this node pack and are not compatible with native ComfyUI nodes or third-party nodes.
These types can only be connected to inputs and outputs within the ComfyUI-TenserTensor pack. Attempting to pass them to external nodes will result in a type mismatch error.
[!NOTE]
For GGUF users: ComfyUI does not scan for GGUF files by default.
Place your files according to the structure below — the node pack registers.ggufextension and new folders automatically.
📂 ComfyUI/
├── 📂 models/
│ ├── 📂 diffusion_models/
│ │ └── # GGUF diffusion models (main location)
│ ├── 📂 unet/
│ │ └── # GGUF diffusion models (alternative location, deprecated)
│ ├── 📂 diffusion_models_gguf/
│ │ └── # GGUF diffusion models (recommended)
│ ├── 📂 text_encoders/
│ │ └── # Text encoders: CLIP-L, CLIP-G, T5-XXL (safetensors or GGUF, main location)
│ ├── 📂 clip/
│ │ └── # Text encoders (alternative location, deprecated)
│ ├── 📂 text_encoders_gguf/
│ │ └── # Text encoders (recommended)
│ ├── 📂 loras/
│ │ └── # LoRA files
│ └── 📂 vae/
│ └── # VAE files (safetensors)
[!TIP]
You can download Flux.2-dev along with additional models (CLIP, VAE) via the link below:
Comfy-Org/flux2-dev
[!TIP]
Pre-quantized models by City96:FLUX1.D GGUF
FLUX1 Schnell GGUF
Stable Diffusion-3.5 Large GGUF
Stable Diffusion-3.5 Large Turbo GGUF
T5_XXL v1.1 GGUF
(c) 2026 TenserTensor [email protected] || Apache-2.0 (apache.org/licenses/LICENSE-2.0)
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.