The goal of this pack is to keep genuinely useful glue nodes in one place without pulling in a large third-party custom-node bundle just to get one tiny piece of functionality.

Companion use with LatentSlate

This pack is intended to be a stable companion utility pack for LatentSlate-oriented ComfyUI workflows while remaining useful on its own.

The nodes here are intentionally small, stable, and dependency-light. They cover workflow glue that is useful around provider-driven image generation, image-to-video, resizing, resolution snapping, color matching, local LLM calls, and narrow PyTorch model-setting patches.

This repo does not claim to be a required dependency for LatentSlate. If a LatentSlate workflow package needs one of these nodes, that workflow should list the dependency explicitly. Planned workflow package notes live in workflows/README.md.

Included

`Text Split (Delimiter)`

Splits an input string using a delimiter and returns:

part_1 through part_20
remainder
count

Behavior:

output_count controls how many leading parts are emitted before overflow is collected into remainder
strip_parts trims whitespace around each part
skip_empty removes empty parts after splitting
delimiter supports common escape strings such as \n, \r\n, \r, and \t

This node intentionally uses a fixed socket layout instead of dynamic outputs so saved workflows stay predictable and easy to debug.

`Lazy Index Switch`

Selects one of input_0 through input_19 using a zero-based index value.

Behavior:

accepts any ComfyUI type on its input sockets
evaluates only the selected input branch
pairs with combo-style nodes that expose an INDEX output
reports a clear validation error if the selected input is not connected

`Enviral Image Resize Kit`

Resizes an image with a small set of explicit workflow-friendly modes:

pass-through: keeps the input image resolution and ignores width/height
explicit resize: stretches the image to the requested width and height
inside fit: preserves the full image, pads to the requested aspect ratio, fills padding with letterbox_color, then outputs the requested width and height
outside fit: fills the requested aspect ratio and center-crops overflow

Inputs:

image: input image batch
mode: resize mode dropdown or linked string alias
width and height: requested output dimensions, ignored by pass-through
letterbox_color: used only by inside fit; accepts simple names, R,G,B, 0.0-1.0 float triples, or #RRGGBB
optional mask: transformed with the same geometry as the image

The mode input is a dropdown, but it also accepts linked strings such as resize, pad, crop, and pass-through. This makes it pair cleanly with combo nodes that output strings. Optional masks are transformed with the same geometry and the node returns image, width, height, and mask.

`Enviral Color Match V2`

Transfers color from a reference image batch to a target image batch.

Inputs:

image_target: image batch to recolor
image_ref: image batch to sample color from
method: mkl, hm, reinhard, mvgd, hm-mvgd-hm, hm-mkl-hm, or reinhard_lab_gpu
strength: blend/extrapolation amount, where 0 is unchanged and 1 is the matched result
multithread: enables threaded CPU processing for multi-image batches

The CPU methods use color-matcher. The reinhard_lab_gpu method uses ComfyUI's Kornia dependency for Lab-space matching and requires both inputs to be RGB IMAGE tensors with 3 channels.

`Enviral Load LoRA`

Native-style LoRA loader that keeps ComfyUI's LoRA application behavior but allows lora_name to be driven by a linked string.

Inputs:

model: diffusion model to patch
clip: CLIP model to patch
lora_name: dropdown or linked string matching a LoRA path known to ComfyUI
strength_model: diffusion model LoRA strength
strength_clip: CLIP LoRA strength

Outputs:

patched model
patched clip

`Enviral Load LoRA (Model Only)`

Model-only variant for workflows such as WAN where the LoRA chain patches the diffusion model without a CLIP connection.

Inputs:

model: diffusion model to patch
lora_name: dropdown or linked string matching a LoRA path known to ComfyUI
strength_model: diffusion model LoRA strength

Output:

patched model

`Model Patch Torch Settings`

Experimental node that patches a compatible ComfyUI MODEL with callbacks for one CUDA PyTorch backend setting.

Inputs:

model: model to clone and patch
enable_fp16_accumulation: toggles torch.backends.cuda.matmul.allow_fp16_accumulation while the model runs

When enabled, the patched model turns full FP16 accumulation on before model execution and turns it back off during cleanup. When disabled, it forces the setting off before model execution. This requires a PyTorch build that exposes torch.backends.cuda.matmul.allow_fp16_accumulation and a ComfyUI model patcher with clone() and add_callback() support.

`WAN Resolution Snap`

Converts a preset or custom typed resolution into divisor-safe dimensions for WAN video workflows.

Inputs:

preset: custom or common square, landscape, portrait, and 4:3 presets
width and height: freeform custom dimensions, used when preset is custom
snap: nearest, floor, or ceil
divisible_by: output divisor, defaulting to 32
swap: swaps width and height before snapping

Outputs:

width and height as integers
width_float and height_float for nodes that expect float sockets
summary, such as 768 x 1344 | 1.03 MP | 4:7 | div32

If snapping changes the requested dimensions, summary also appends the source size, for example | from 1000 x 540.

`LM Studio Unified (URL + API Key)`

Sends text, an image, or both to an LM Studio OpenAI-compatible chat endpoint.

Inputs:

base_url: accepts http://127.0.0.1:1234/v1, https://lmstudio.example.com, or a full /v1/chat/completions URL
api_key: optional bearer token for LM Studio API-token auth
api_key_env_var: optional environment variable fallback when api_key is blank, defaulting to LMSTUDIO_API_KEY. On Windows, this checks the current process first, then the User and Machine environment variable registry values.
model, prompt, system_prompt, seed, max_tokens, temperature, and timeout_seconds
optional image input for vision-capable models. If the input is an IMAGE batch, each frame is sent as a separate image_url content part, capped by max_images
user_agent: HTTP User-Agent override for routes that block Python's default urllib signature
debug: prints request details to the ComfyUI console

For a secured Cloudflare route, use a public base_url such as:

https://lmstudio.enviral-design.com

The node will call:

https://lmstudio.enviral-design.com/v1/chat/completions

Install

Clone this repo into ComfyUI/custom_nodes and restart ComfyUI.

ComfyUI/custom_nodes/comfyUI-enviral-design-node-pack

Most nodes use ComfyUI's existing Python, PyTorch, Pillow, and NumPy environment. Enviral Color Match V2 also uses color-matcher for its CPU methods; that dependency is declared in pyproject.toml. If you install this repo manually and see a missing color_matcher import, install color-matcher into the same Python environment that runs ComfyUI.

Workflow examples

This repo currently documents nodes and planned workflow packages. It does not currently bundle executable workflow JSON files. See workflows/README.md for the planned package list and status.

Donations & Support

If this saves you time, you can support the work here: