FLUX-FLUX Components Params
Weight FLUX's four sub-models separately — diffuser, CLIP-L, T5, and VAE as one param recipe
- recipe
FLUX Defaults Hyper is a params node for the FLUX architecture, and it exists because FLUX isn't one model you blend - it's a bundle of four components: the diffusion model (here called diffuser), the clip_l text encoder, the t5xxl text encoder, and the vae. When you merge a FLUX checkpoint or bake a LoRA into one, each of those components is a separate key group, and they don't have to move at the same strength. This node hands you one recipe containing four independent weights, one per component.
The display name - "FLUX-FLUX Components Params" - looks like a typo but isn't: it's the auto-generated name for the flux-flux model config's components-params node, one of a whole family the pack generates for every supported architecture (there are SDXL Components Params and SD1 Components Params siblings).
What you set
Four FLOAT inputs, each a per-component strength (default 0.0, step 0.01):
diffuser- the main FLUX transformer/diffusion model. The one you usually care about.clip_l- the CLIP-L text encoder half.t5xxl- the T5-XXL text encoder half.vae- the VAE.
Output is one recipe (MECHA_RECIPE) that you wire into a param socket - typically the alpha of a merge or LoRA-application node. The recipe is built by picking each component's value and OR-ing them together, so downstream, the merge applies diffuser's strength to diffuser keys, clip_l's strength to CLIP keys, and so on.
Why you'd bother
Most of the time one number for everything is fine - that's Float. The reason to split by component: LoRA merges and cross-model merges where the text encoders and the transformer respond differently. Baking a FLUX LoRA at alpha 0.8 can be great for the diffuser but oversaturated for T5; this lets you hold the transformer at 0.8 and drop the encoders to 0.5 without building a multi-branch workflow. It's also the natural target for "merge the transformer but not the VAE" workflows, since you can zero out components you don't want touched.
Install & gotchas
ComfyUI Manager → search mecha → Mecha Merge Node Pack, or:
cd ComfyUI/custom_nodes
git clone https://github.com/ljleb/comfy-mecha.git
pip install -r comfy-mecha/requirements.txt
Restart; only dependency is sd-mecha==1.1.7.
The trap: all four default to 0.0, and a components-params recipe with everything at zero is a "do nothing" recipe. If your FLUX merge silently doesn't change anything, check this node - you set diffuser and forgot the rest, or vice versa. Also note this node produces a param recipe; it goes into an alpha/param socket, not a weight socket. And while the pack knows the flux-flux key layout, it can only separate components if the models you're merging actually carry all four - a transformer-only FLUX file won't gain text-encoder keys just because you set a value for them.
Inputs (4)
| Name | Type | Default | Description |
|---|---|---|---|
| diffuser | FLOAT | 0.00-18446744073709550000–18446744073709550000 | — |
| clip_l | FLOAT | 0.00-18446744073709550000–18446744073709550000 | — |
| t5xxl | FLOAT | 0.00-18446744073709550000–18446744073709550000 | — |
| vae | FLOAT | 0.00-18446744073709550000–18446744073709550000 | — |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| recipe | MECHA_RECIPE | — |