💀Prepack – ComfyUI custom nodes (v1.0.0)

A small, practical bundle of ComfyUI nodes that streamlines common workflows:

• Unified loader for UNet + Dual-CLIP
• Apply up to 3 LoRA adapters in one node and emit a prompt string
• KSampler + VAE decode in one step
• Pack/Unpack a pipeline into a single object
• Frontend-only "virtual" Set/Get helpers for wiring arbitrary values

This package is designed to minimize graph clutter while staying compatible with stock ComfyUI behaviors.

Installation

1. Copy the ComfyUI-Prepack folder into ComfyUI/custom_nodes/.
2. Start or restart ComfyUI.
3. You should see a new category named 💀Prepack in the node menu.

Frontend extension (for the virtual Set/Get nodes) is automatically loaded from ./js via WEB_DIRECTORY.

Nodes

1) 💀Prepack UnetModel

Load a diffusion UNet and a dual-CLIP pair in one step.

• Inputs
  • unet_name: checkpoint from diffusion_models
  • weight_dtype: default | fp8_e4m3fn | fp8_e4m3fn_fast | fp8_e5m2
  • clip_name1, clip_name2: checkpoints from text_encoders
  • type: sdxl | sd3 | flux | hunyuan_video (falls back to SD if unavailable)
  • device (optional): default | cpu
• Outputs: MODEL, CLIP
• Notes: Float8 dtypes are applied only when your PyTorch build supports them.

2) 💀Prepack Loras

Apply up to three LoRA adapters to both model and CLIP at once and return a formatted prompt snippet.

• Inputs
  • model, clip
  • lora_name_1 (required), lora_name_2 (optional), lora_name_3 (optional)
  • strength_model_*, strength_clip_* (typical range [-2.0, 2.0], 0 disables)
• Outputs: MODEL, CLIP, STRING (lora_text)
• The lora_text is a comma-separated list like <lora:YourLoRA:1.0> which you can add to prompts.

3) 💀Prepack Ksampler

Run KSampler and immediately decode the result with VAE.

• Inputs: model, vae, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise
• Output: IMAGE
• Behavior: Handles empty latent channels and provides lightweight shape logs.

4) 💀Prepack SetPipe / 💀Prepack GetPipe

Pack a mini pipeline into a single PIPE object and unpack later.

• SetPipe inputs: model, clip, lora_text, vae → output PIPE
• GetPipe input: PIPE → outputs model, clip, lora_text, vae
• Use case: Save/restore a working bundle for later branches.

5) 💀Prepack Set Any / 💀Prepack Get Any (frontend-only)

Lightweight virtual nodes that help you pass arbitrary values around the graph without polluting the prompt.

• Location: Category 💀Prepack. Search terms: "prepack set any" / "prepack get any"
• Behavior
  • Set Any: one text widget named "Constant"; one input and one output with mirrored type
  • Get Any: a combo widget that lists all Set Any names in the current graph
  • Types are propagated so connections remain valid
  • Widgets are persisted in the workflow (serialize enabled)
• Note: These nodes are virtual and not serialized into the execution prompt.

Tips & Troubleshooting

• Missing nodes in the menu after install: restart ComfyUI and hard-refresh the browser (Ctrl/Cmd+Shift+R).
• If float8 dtypes are unavailable, the loader silently falls back to default dtype.
• If hunyuan_video CLIP type is not supported by your ComfyUI build, it falls back to SD.
• Set/Get Any names persist in the workflow file; on load we re-sync titles and types automatically.

Version

• 1.0.0 – Initial public release.

License

Same license as this repository (see repo settings). If none is specified, treat as "All rights reserved" by default.