# Guide

# Installing

First of all, you should install ComfyUI and [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager).

After that, launch ComfUI.



In the right panel you can find “Manager” button, click on.

![manager.png](guide/manager.png)

You will see big window, click on “Custom Nodes Manager”. 

![manager_menu.png](guide/manager_menu.png)

Go to search field, and start typing “x-flux-comfyui”,

![search.png](guide/search.png)

Click “install” button.

![download.png](guide/download.png)

Now, you have access to X-Labs nodes, you can find it in “XLabsNodes” category.

![nodes.png](guide/manager.png)

# Flux Installing

There is complete guide by Comfyanonimus [Guide](https://comfyanonymous.github.io/ComfyUI_examples/flux/)

Important! You should use flux dev, not schnell, if your computer is capable of this, it is better to use fp8 or bf16 (default).

# Nodes

## XLabs Sampler:

![sampler.png](guide/sampler.png)

Node inputs:

model: get FLUX diffusion model (from unet loader)

conditioning & neg_conditioning: input prompts after T5 and clip models (clip only allowed, but you should know, that you will not utilize about 40% of flux power, so use dual text node)

latent_image: latent input for flux, may be empty latent or encoded with FLUX AE (VAE Encode) image (for image-to-image using)

controlnet_condition: input for XLabs-AI ControlNet conditioning

Output:

latent: FLUX latent image, should be decoded with VAE Decoder to get image

Parameters: 

noise_seed, control_after_generate: controls random generator

steps: how many denoise steps will diffusion go

timestep_to_start_cfg: how many steps diffusion will do before start to use negative sampling and cfg

true_gs: true cfg scale, will be used after first “**timestep_to_start_cfg” steps**

image_to_image_strength: how much will the original image affect to the output

denoise_strength: how many noise will remain

## Load Flux LoRA

![lora.png](guide/lora.png)

Gets flux model on input and outputs model modified with XLabs LoRA (strength of LoRA and name are selected by the parameters)

## Load Flux ControlNet

![loadcnet.png](guide/loadcnet.png)

Gets controlnet name and returns flux controlnet.

## Apply Flux ControlNet

![manager.png](guide/manager.png)

Gets controlnet, image and strength as parameter. Returns controlnet condition for XLabs Sampler.

## Load Flux IPAdapter

![loadip.png](guide/loadip.png)

Gets IP Adapter name, CLIP ViT model and on which device it will work. Choose CUDA only if you have enough VRAM. Return Flux IPAdapter.

## Apply Flux IPAdapter

![applyip.png](guide/applyip.png)

Gets FLUX model, IP Adapter and image. Returns modified model. Strength of IP Adapter comes from parameter.

## Apply Advanced IPAdatper

![advip.png](guide/advip.png)

Like common one, but has more strength parameters.

# Models

We use custom folder for LoRAs, ControlNets and IPAdapters, the folders contains in `models\xlabs`.

LoRAs goes to `ComfyUI\xlabs\loras`.

ControlNets goes to `ComfyUI\xlabs\controlnets`.

IPAdapters goes to `ComfyUI\xlabs\ipadapters`.

An IPAdapter requires a CLIP VIT. We currently use Open-AI Clip ViT Large. You can find it here.

[CLIP ViT model](https://huggingface.co/openai/clip-vit-large-patch14).

Download model.safetensors, rename it as you want to (but .safetensors is required). And put it to `ComfyUI\models\clip-vision\`.