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ComfyDeploy: How Primere nodes for ComfyUI works in ComfyUI?
What is Primere nodes for ComfyUI?
This extension provides various utility nodes. Inputs(prompt, styles, dynamic, merger, ...), Outputs(style pile), Dashboard(selectors, loader, switch, ...), Networks(LORA, Embedding, Hypernetwork), Visuals(visual selectors, )
How to install it in ComfyDeploy?
Head over to the machine page
- Click on the "Create a new machine" button
- Select the
Edit
build steps - Add a new step -> Custom Node
- Search for
Primere nodes for ComfyUI
and select it - Close the build step dialig and then click on the "Save" button to rebuild the machine
Primere nodes for ComfyUI
Git link: https://github.com/CosmicLaca/ComfyUI_Primere_Nodes
<hr>Nodepack under development. Manual written by AI, please open issue if something wrong or missing. If you upgrade, just check attached new workflows or use git to downgrade to previous version if something failed.
All example workflows in the Workflow
folder of the node root.
Primere Youtube channel: https://www.youtube.com/@PrimereComfydev/videos
<hr>Minimal workflow:
<img src="./Workflow/Manual/wf_minimal.jpg" width="800px"><ins>Detailed manual for included nodes</ins>
Minimal workflow features:
- Prompt selector to any prompt sources
CSV
andTOML
file source readers for saved prompts, automatically organized, saved prompt selection by preview image (if saved)- Randomized latent noise for variations
- Prompt encoder with selectable custom clip model, long-clip mode with custom models, advanced encoding, injectable internal styles, last-layer options
- Sampler with
variation extender
andAlign Your Step
features - A1111 style network injection supported by text prompt (Lora, Lycorys, Hypernetwork, Embedding)
- Automatized and manual image saver. Manual image saver with optional preview saver for checkpoint selector and saved .csv prompts
- Upscaler (selectable Ultimate SD and hiresFix)
Basic workflow:
The difference between minimal and basic workflows, that basic workflow automatically detect and support several model concepts. The main difference between workflows the large node group Concept sampler group
with lot of samplers (1 sampler / concept) and the main Model concept selector
node.
<ins>Detailed manual for included nodes</ins>
Basic workflow features:
Same as Minimal workflow plus:
- Half-automatic model concept selector:
- Supported concepts: SD1, SD2, SDXL, SD3, StableCascade, Turbo, Flux, KwaiKolors, Hunyuan, Playground, Pony, LCM, Lightning, Hyper, PixartSigma
- Custom (and different) sampler settings for all concepts. The main ide that set sampler nodes only one time (
sampler
,scheduler
,step
,cfg
) then just select model only what will use right sampler setting byModel concept selector
. - Auto detection of selected model type (if data already stored on external .json file, see longer manual)
- Auto download and apply Hyper, Lightning, and Turbo speed loras at first usage from here: https://huggingface.co/ByteDance/Hyper-SD/tree/main check your SSD space before!
On the Concept selector
node you will see None
on all required fields, for example on Cascade and Flux files. You must install all required additional files manually to right path, then select correct model/clip/vae on lists.
Basic production workflow:
The difference between basic production and basic workflows, that basic production workflow can use LLM prompt refiner (LLM models have to be installed locally) and face, eye, mouth, and hand refiner available. 4 prompt input for test, 4 prompt input for dev attached to prompt switcher.
<img src="./Workflow/Manual/wf_basic_prod.jpg" width="800px"><ins>Detailed manual for included nodes</ins>
Basic production workflow features:
Same as Basic workflow plus:
- Added 4 test and 4 development prompt inputs, easy to switch
- Local LLM models can help refine/repair prompts. Refined prompts can be added to original, replace original, or keep original as L prompt but send refined to T5-XXL clip is avalable in clip encoder node
- Customizable refiner blocks for face, eye, mouth, and hand refining. These nodes automatically downloads required segmentator models, check space before first usage