TenserTensor
28b9c18082
Implement text encoding nodes: - clip_text_encode_flux.py: Flux encoder with separate CLIP-L and T5-XXL prompts - clip_text_encode_flux_context.py: context-based Flux encoder - clip_text_encode_sdxl.py: SDXL encoder with CLIP-L/G prompts and aesthetic scores - clip_text_encode_sdxl_context.py: context-based SDXL encoder Add markdown documentation for all text encoder nodes
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.
Features
- Workflow settings nodes - configure entire workflow parameters (basic and advanced variants)
- All-in-one model loaders - load checkpoint, LoRAs, CLIP, and VAE in single nodes
- CLIP text encoders - context-based and prompt-based encoding with model-specific controls
- Latent factory - generate latents with aspect ratio, megapixel count, orientation, and type selection (Flux/SDXL)
- Context nodes - from Basic to Even Larger Context
- Basic: combines latent, model, CLIP, VAE, and workflow config into context
- Others: pass-through nodes that modify specific context values while preserving the rest
- VAE decoders - basic, context-based, extended, and two-pass (draft + refinement)
- Post-production tools - image adjustments (brightness, contrast, saturation), color correction (apply LUT), film grain, upscaler
- All-in-one post-production node combining all tools
- Simplified version without adjustments