Reusable config presets — swap characters, styles, poses, checkpoints and more without rewiring your workflow

ComfyUI Flakes is a set of nodes aiming to facilitate batch generation of images with reusable presets. Combine LoRAs, prompts, controlnets and more into a flake.yaml file that can be loaded, swapped, disabled and tweaked easily within the Flakes ecosystem.

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Installation

Via ComfyUI Manager (Recommended)

Search for ComfyUI Flakes and click Install.

Manual

cd ComfyUI/custom_nodes
git clone https://github.com/JeyzerMC/comfyui-flakes

No extra dependencies — PyYAML is already part of ComfyUI's core.

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Flake file format

Flakes are reusable .yaml config files under ComfyUI/models/flakes/. They can represent any image generation concept, such as a character, a style, an environment, a pose, etc. Each flake has a number of different fields it can have that will be passed during the generation.

The only field required inside the YAML is name — the display label used everywhere in the UI. The flake's stable identifier is its filename relative to models/flakes/ (subfolders included — characters/musashi.yaml is loaded as characters/musashi); that's the "output path" and lives in the filesystem rather than the file. Every other field below is optional — include only what your flake needs.

# ─── Required ─────────────────────────────────────────────────────────────
name: "Miyamoto Musashi"        # Display name shown in the UI and pickers

# ─── Optional fields ──────────────────────────────────────────────────────

# Prompt fragments contributed to the stack. Either side can be omitted.
prompt:
  positive: "1boy, miyamoto musashi, long wild black hair"
  negative: "modern clothing, glasses"

# LoRAs — list of one or more entries. `path` is the model path under
# `models/loras/`; `name` and `url` are metadata for the picker / link icon.
loras:
  - name: "Musashi"
    url: "https://civitai.com/models/..."   # optional, shown as link icon
    path: "<lora_path>/musashi"                # under models/loras/
    strength: 0.9                           # default 1.0
    schedule:                               # optional hook schedule, see below
      - {start: 0.0, strength: 1.0}
      - {start: 0.6, strength: 0.0}

# Default resolution for the generation. The first flake in the stack that
# declares a `resolution` wins; otherwise it falls back to 1024 × 1024.
resolution: [832, 1216]

# Cover image shown on the flake's grid block and in the picker. Path is
# resolved under `models/loras/` (or, for legacy flakes, the sibling image
# of a .safetensors file).
cover_image: "<lora_path>/musashi.png"

# Variant groups — the UI lets you pick one choice per group. Each choice
# can contribute extra positive/negative text and an optional preview image.
# `default: true` on a group's first choice ("Applies by default" in the
# editor) applies it when the node leaves the group on "-"; pick "None" in the
# node's option panel to opt out.
variants:
  outfit:
    ronin:
      default: true
      positive: "tattered kimono, frayed hakama"
      negative: "armor"
      image: "<lora_path>/musashi_outfit_ronin.png"    # optional preview thumbnail
    shirtless:
      positive: "shirtless, hakama only"
  mood:
    calm:
      positive: "serene expression"
    fierce:
      positive: "battle stance, narrowed eyes"

# ControlNets — one entry per ControlNet to apply.
controlnets:
  - type: openpose                            # ControlNet category label
    model: control_openpose_xl.safetensors    # file under models/controlnet/
    image: standing_openpose                  # file under ComfyUI/input/
    strength: 0.8                             # default 1.0
    start_percent: 0.0                        # default 0.0
    end_percent: 1.0                          # default 1.0

# Filename stem injected into `Save Image`'s filename_prefix when this flake
# is in the stack. Multiple flakes' stems are joined with underscores.
output_stem: "musashi"

# Flake links — pull in one or more other flakes' loras + prompts when this
# flake is used. Each link can set default variant choices and lora-strength
# overrides for its target. (A single legacy `flake_link:` mapping is still
# read for backwards compatibility.)
flake_links:
  - target: "styles/ink_wash"          # another flake's output path
    variant:
      intensity: heavy                 # default variant choice on the target
    lora_strengths: [0.8]              # per-lora overrides (null = target default)
  - target: "poses/standing"

A flake can hold several prompts with prompts: instead of prompt: (a list of {positive, negative, schedule} entries). Unscheduled prompts of one flake are joined with , .

Hook schedules

LoRAs, prompts and flake links take an optional schedule: keyframes that set a strength multiplier from start (fraction of the denoising, 0–1) until the next keyframe. Before the first keyframe the strength is 1. In the flake editor, use Add Hook Scheduler from the card's ☰ menu.

• LoRA: scales the LoRA's model weights over time (core hook keyframes). Its text-encoder part stays on for the whole generation so trigger words encode.
• Prompt: encoded on its own and applied only where the strength is above 0.
• Flake link: multiplies into every LoRA and prompt the linked flake brings in.

Prompts are joined with BREAK between flakes so each flake acts as an independent CLIP region. LoRA strengths and variant choices can be overridden per-instance from the grid item's option panel without modifying the file on disk.

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Flake Model Preset

A Flake model preset is a config for checkpoints. Alongside the SDXL family it supports Anima, Krea2 and Z-Image.

Model families

The model_family dropdown picks both the on-disk layout (img/<folder>/ under models/flakes/, models/flakes/model_presets/ and output/) and how the model is loaded and sampled.

Family	Folder	Model file	Text encoder	Encoder type	VAE
SDXL/Base, SDXL/Illustrious, SDXL/Pony	sdxl, illustrious, pony	all-in-one checkpoint	baked in	STABLE_DIFFUSION	baked in
Anima/Base	anima	anima-base-v1.0	qwen_3_06b_base	QWEN_IMAGE	qwen_image_vae
Krea2/Turbo	krea2	krea2_turbo_fp8_scaled	qwen3vl_4b_fp8_scaled	KREA2	qwen_image_vae
ZImage/Base, ZImage/Turbo	zib, zit	z_image_turbo_bf16	qwen_3_4b	LUMINA2	ae.safetensors

SDXL presets need only a Checkpoint. The other families ship as a bare diffusion model, so they also need a Text Encoder, its Text Encoder Type and a VAE. Point the preset at either a Checkpoint or a Diffusion Model — a UNET-only file that happens to live in models/checkpoints/ is detected automatically, so you don't have to move it.

Presets seed their sampler defaults from the family (Z-Image and Krea2 Turbo: 8 steps at CFG 1; Anima base: 30 steps at CFG 4 with Euler Ancestral / Normal). At CFG ≤ 1 the negative prompt is zeroed out, matching how distilled models are sampled. Clip Skip is hidden for the Qwen-based families, where it does not apply.

A preset can also carry LoRAs and Flake Links (sections at the bottom of the preset editor, same format as in a flake). They apply whenever the preset is used, before any flake LoRAs.

Anima, Krea2 and Z-Image require ComfyUI v0.34 or newer. Their architectures and the KREA2 encoder type do not exist in older releases.

ControlNets for Anima and Z-Image

A flake's ControlNet field works the same for every family: pick an image, a type, then tweak strength, start and end. Anima and Z-Image don't use regular ControlNets, though. Their ControlNets are model patches that hook the diffusion model, so the files go in models/model_patches/, not models/controlnet/:

Family	Folder	Files	Types
Anima/Base	models/model_patches/anima/	anima-lllite-{pose,depth,lineart,scribble}-1 (Comfy-Org/Anima-LLLite)	openpose, depth, lineart, scribble
ZImage/Base, ZImage/Turbo	models/model_patches/zimage/	Z-Image-Turbo-Fun-Controlnet-Union (any version)	openpose, depth, canny, softedge

• Anima depth expects a Depth Anything V2 map (white = near). The pose model is noticeably weaker than depth; for locking a pose, depth works better.
• The Anima LLLite weights are Preview3 releases and lose some quality on Anima Base v1.0.
• Z-Image's Fun ControlNet has no start/end: it applies to every step.
• TaihoC/Anima-ControlNet-VACE-Depth is not supported by core ComfyUI. Install the ComfyUI-Advanced-ControlNet-Anima fork (branch feat/anima-vace-controlnet), put the file in models/controlnet/anima/ and select it in the ControlNet entry's Model dropdown.
• For Anima, the Model dropdown lists every file in models/model_patches/anima/ and the VACE files in models/controlnet/anima/. Auto (by type) uses the LLLite file for the type; a model that no longer exists falls back to Auto.
• If an Anima ControlNet seems to have no effect, check the console: [flakes] Anima lllite <file> ... sigma=<start>..<end> per applied patch and [FlakeGenerate] model patches: post_input=1, ... before sampling (none means no patch reached the sampler). To compare, run ComfyUI's Control to Image (Anima LLLite) blueprint with the same image, file, strength, start/end, seed and sampler settings.
• The base model is not reloaded when switching flakes. Each patch is a hook on a clone that shares its weights, and recently used patch files stay cached.

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Nodes

Flake Stack

Sits between your checkpoint loader and sampler. Loads an ordered list of flakes (YAML presets), merges their prompts and LoRAs, and outputs everything the sampler needs.

Flakes can be reordered, enabled / disabled, and edited. You can also open a small dropdown menu to make small non-persistent tweaks, such as changing a variant option, or a lora strength.

Flake Combo

TODO

Flake Model Preset

TODO

Flake Model Combo

TODO

Flake Generate

Samples, decodes and saves the stack. While a combination is sampling, the node and its Generation Data overlay show the live step preview, including the ADetailer pass (upscaling has no steps to preview). When ComfyUI's Live preview method setting is default and the server runs without --preview-method, Flakes requests auto (latent2rgb) previews for its prompts; pick taesd for sharper previews or none to turn them off. Combinations that are not generated yet show their flakes' covers as scattered cards. Results stay matched to their grid item when items are moved or duplicated.

Flake Data Split

TODO

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Roadmap

• Flux support
• Video support (Starting with WAN)
• Post Process (ADetailler / Upscalers)
• IP Adapters
• LoRA training
• Controlnet preprocessing
• Variant LoRAs?

Fill free to open an issue if you'd like more features supported by Flakes.

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Changelog

See CHANGELOG.md for the full release history.

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License

MIT