ComfyUI-CyberKrea-Sampler

ComfyUI-CyberKrea-Sampler

A compact Krea 2 Turbo sampler and resolution-aware empty latent node for workflows that already patch the model with LoRAs and/or NegPiP.

CyberKrea uses its own technical identifiers, package, category and display name, preventing conflicts with other sampler nodes. It provides calibrated presets with direct manual control while deliberately omitting clean_model, variety, composition blending and the raw/experimental preset.

Node

CyberKrea Sampler is under the CyberKrea category.

Connections

| Option | Description | |---|---| | model | The final Krea 2 model from your model chain. Connect it after LoRAs and/or NegPiP. | | positive | Positive conditioning from your prompt or NegPiP chain. | | latent_image | A 16-channel Krea 2 / Wan21 latent, such as the output from CyberKrea Empty Latent. | | seed | Controls the initial noise and all seeded sampling-noise streams for reproducible runs. | | negative | Optional negative conditioning. Connecting it enables sigma-window guidance. Leave it disconnected when NegPiP already handles negative concepts. | | vae | Optional. Decodes one thumbnail on the sampler node; it does not change the LATENT output. |

Sampler controls

Selecting a preset immediately fills in all visible control values. You can then change any individual value without losing the rest of that preset.

| Option | Description | |---|---| | preset | Loads fast, balanced, or quality values into every control below. | | steps | Total sampling-step budget. More steps take longer and can add refinement; Krea 2 Turbo usually does not need high counts. | | sampler | euler is the direct, stable first-order method. euler_2m uses a two-step history (AB2) and is used by the quality preset. | | restart_frac | Fraction of the existing step budget reserved for the restart/detail-recovery pass. Increasing it reallocates steps; it does not add extra steps. | | sigma_r | Noise level to jump back to at the restart. Higher values make the restart stronger; lower values keep it more subtle. | | plunge | Locks the main composition with a direct end step before the lower-sigma restart works on texture and detail. | | detail | Strength of the detail sigma adjustment. Higher values emphasize fine detail; excessive values can look harsh. | | eta0 | Maximum gated ancestral-noise strength during the middle of sampling. 0 disables this extra noise injection. | | sigma_gate | Eta noise is disabled below this sigma. Higher values stop ancestral noise earlier; lower values allow it later into the image. | | contraction | Scales the initial noise toward the measured photo manifold. 1.0 is uncontracted stock noise; 0.70 is the preset value. | | preview_method | Live preview: auto, fast latent2rgb, taesd, or none. TAESD requires lighttaew2_1 in models/vae_approx. |

Preset defaults:

| Preset | Steps | Detail | Sampler | |---|---:|---:|---| | fast | 8 | 0.50 | euler | | balanced | 12 | 0.60 | euler | | quality | 16 | 0.70 | euler_2m |

Choosing another preset updates every displayed preset field. You can then change any individual value without losing the rest of the selected preset.

CyberKrea Empty Latent

CyberKrea Empty Latent creates the 16-channel latent expected by Krea 2 and outputs the selected width and height as integers. Choose a size tier first; the resolution dropdown then shows only the matching dimensions.

| Option | Description | |---|---| | size | Selects the S, M, L, or XL megapixel tier, filters the resolution dropdown, and preserves the selected aspect ratio. | | resolution | Selects the concrete width, height, and aspect ratio within the chosen tier. | | batch_size | Number of empty latents generated in one batch. Higher values require more VRAM. |

| Tier | Available resolutions | |---|---| | S (~1.0 MP) | 1024x1024, 1152x864, 864x1152, 1344x896, 896x1344, 1344x768, 768x1344 | | M (~1.4 MP) | 1184x1184, 1344x1008, 1008x1344, 1568x1040, 1040x1568, 1568x880, 880x1568 | | L (~1.7 MP) | 1312x1312, 1504x1120, 1120x1504, 1600x1088, 1088x1600, 1728x960, 960x1728 | | XL (~2.1 MP) | 1440x1440, 1664x1248, 1248x1664, 1776x1184, 1184x1776, 1920x1088, 1088x1920 |

Every dimension is divisible by 16 for the Wan21 VAE and Krea 2 patch layout.

NegPiP wiring

base model -> LoRA(s) -> NegPiP model output -> CyberKrea Sampler (model)
prompt/NegPiP positive conditioning ----------> CyberKrea Sampler (positive)
CyberKrea Empty Latent -----------------------> CyberKrea Sampler (latent_image)

Leave the sampler's negative input empty when NegPiP is already handling negative concepts.

Installation

Copy the complete ComfyUI-CyberKrea-Sampler folder to:

ComfyUI/custom_nodes/ComfyUI-CyberKrea-Sampler

Restart ComfyUI. No extra Python packages are required beyond ComfyUI's own PyTorch/Comfy modules.

License

Released under the MIT license. See LICENSE.