ComfyUI Node
Flux2 SDNQ Sampler V2
Generate images using SDNQ Flux2 models. Optimized for Flux2Pipeline. Connect SDNQ Model Loader to provide the model.
Flux2 SDNQ Sampler V2
- model
- latent_image
- image
◄prompt►
◄steps25►
◄cfg7.0►
◄seed0►
◄schedulerFlowMatchEulerDiscreteScheduler►
◄denoise1.00►
Categorysampling/SDNQ/Flux2
Inputs (8)
| Name | Type | Default | Description |
|---|---|---|---|
| model | MODEL | SDNQ model pipeline from SDNQ Model Loader node | |
| prompt | STRING | Text description of the image to generate. Be descriptive for best results. | |
| steps | INT | 251–150 | Number of denoising steps. More steps = better quality but slower. 20-30 is typical for most models. |
| cfg | FLOAT | 7.00–30 | Guidance scale - how closely to follow the prompt. Higher = more literal. FLUX-schnell uses 0.0, FLUX-dev uses 3.5-7.0, SDXL uses 7.0-9.0. |
| latent_image | LATENT | Latent image input. Width and height are extracted from this latent tensor. | |
| seed | INT | 00–18446744073709550000 | The random seed used for creating the noise. Seed=0 will randomize each run. Seed>=1 will use the specified value. |
| scheduler | COMBO | FlowMatchEulerDiscreteScheduler | FlowMatchEulerDiscreteScheduler is the only scheduler supported for Flux2 pipelines. |
| denoise | FLOAT | 1.000–1 | Denoising strength. 1.0 = full denoising, lower values = less denoising. ComfyUI standard parameter matching KSampler. |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| image | IMAGE | — |