Nodes/comfyui-arkennemasis/arkennemasis fal · Flux General Inpainting · $0.075/MP
ComfyUI Node

arkennemasis fal · Flux General Inpainting · $0.075/MP

FLUX General Inpainting is a versatile endpoint that enables precise image editing and completion, supporting multiple AI extensions including LoRA, ControlNet, and IP-Adapter for enhanced control over inpainting results and sophisticated image modifications. Pricing (from fal, 2026-09-29): $0.075 per megapixel (fal's billing unit). Model page: https://fal.ai/models/fal-ai/flux-general/inpainting Key: FAL_KEY in the .env next to run_nvidia_gpu.bat. Results are saved in output/fal/fal-ai_flux-general_inpainting/.

By Hishamahmer·Created 2 months ago·Updated 4 days ago· 10
arkennemasis fal · Flux General Inpainting · $0.075/MP
  • image
  • mask
  • fill_image_fill_image_1
  • fill_image_fill_image_2
  • fill_image_fill_image_3
  • fill_image_fill_image_4
  • fill_image_fill_image_5
  • fill_image_fill_image_6
  • reference_image
  • images
  • image_paths
  • timings
  • has_nsfw_concepts
  • prompt
  • seed
  • info
◄prompt►
◄image_sizesquare_hd►
◄image_size_width1024►
◄image_size_height1024►
◄num_inference_steps28►
◄seed-1►
◄loras►
◄control_loras►
◄controlnets►
◄controlnet_unions►
◄ip_adapters►
◄easycontrols►
◄guidance_scale3.50►
◄real_cfg_scale3.50►
◄use_real_cfgfalse►
◄use_cfg_zerofalse►
◄num_images1►
◄enable_safety_checkertrue►
◄reference_strength0.65►
◄reference_start0.00►
◄reference_end1.00►
◄base_shift0.50►
◄max_shift1.15►
◄output_formatpng►
◄use_beta_schedulefalse►
◄schedulereuler►
◄negative_prompt►
◄nag_scale3.00►
◄nag_tau2.50►
◄nag_alpha0.25►
◄nag_end0.25►
◄strength0.85►
◄max_cost_usd20.0►
◄reuse_identical_runtrue►
◄extra_json►
◄max_concurrent1►
Categoryarkennemasis/fal/Image/Flux

Inputs (45)

NameTypeDefaultDescription
promptSTRINGThe prompt to generate an image from.
image_sizeCOMBOsquare_hdThe size of the generated image. 'custom' uses the width and height below.
image_size_widthINT102416–14142Width in pixels when image_size is 'custom'.
image_size_heightINT102416–14142Height in pixels when image_size is 'custom'.
num_inference_stepsINT281–50The number of inference steps to perform.
seedINT-1-1–2147483647The same seed and the same prompt given to the same version of the model will output the same image every time. -1 leaves it to the model.
lorasSTRINGThe LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image. JSON. Empty leaves it out.
control_lorasSTRINGThe LoRAs to use for the image generation which use a control image. You can use any number of LoRAs and they will be merged together to generate the final image. JSON. Empty leaves it out.
controlnetsSTRINGThe controlnets to use for the image generation. Only one controlnet is supported at the moment. JSON. Empty leaves it out.
controlnet_unionsSTRINGThe controlnet unions to use for the image generation. Only one controlnet is supported at the moment. JSON. Empty leaves it out.
ip_adaptersSTRINGIP-Adapter to use for image generation. JSON. Empty leaves it out.
easycontrolsSTRINGEasyControl Inputs to use for image generation. JSON. Empty leaves it out.
guidance_scaleFLOAT3.500–20The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
real_cfg_scaleFLOAT3.500–5The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.
use_real_cfgBOOLEANfalseUses classical CFG as in SD1.5, SDXL, etc. Increases generation times and price when set to be true. If using XLabs IP-Adapter v1, this will be turned on!.
use_cfg_zeroBOOLEANfalseUses CFG-zero init sampling as in https://arxiv.org/abs/2503.18886.
num_imagesINT11–10The number of images to generate. This is always set to 1 for streaming output.
enable_safety_checkerBOOLEANtrueIf set to true, the safety checker will be enabled. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images.
reference_strengthFLOAT0.65-3–3Strength of reference_only generation. Only used if a reference image is provided.
reference_startFLOAT0.000–1The percentage of the total timesteps when the reference guidance is to bestarted.
reference_endFLOAT1.000–1The percentage of the total timesteps when the reference guidance is to be ended.
base_shiftFLOAT0.500.01–5Base shift for the scheduled timesteps
max_shiftFLOAT1.150.01–5Max shift for the scheduled timesteps
output_formatCOMBOpngThe format of the generated image.
use_beta_scheduleBOOLEANfalseSpecifies whether beta sigmas ought to be used.
schedulerCOMBOeulerScheduler for the denoising process.
negative_promptSTRINGNegative prompt to steer the image generation away from unwanted features. By default, we will be using NAG for processing the negative prompt. Empty leaves it out.
nag_scaleFLOAT3.001.01–10The scale for NAG. Higher values will result in a image that is more distant to the negative prompt.
nag_tauFLOAT2.50The tau for NAG. Controls the normalization of the hidden state. Higher values will result in a less aggressive normalization, but may also lead to unexpected changes with respect to the original image. Not recommended to change this value.
nag_alphaFLOAT0.250.01–1The alpha value for NAG. This value is used as a final weighting factor for steering the normalized guidance (positive and negative prompts) in the direction of the positive prompt. Higher values will result in less steering on the normalized guidance where lower values will result in considering the positive prompt guidance more.
nag_endFLOAT0.250.01–1The proportion of steps to apply NAG. After the specified proportion of steps has been iterated, the remaining steps will use original attention processors in FLUX.
imageIMAGEURL of image to use for inpainting. or img2img
strengthFLOAT0.850.01–1The strength to use for inpainting/image-to-image. Only used if the image_url is provided. 1.0 is completely remakes the image while 0.0 preserves the original.
maskMASKThe mask to area to Inpaint in.
fill_image_fill_image_1optIMAGEURLs of images to be filled for redux prompting Each socket may carry a batch; they are sent in socket order (the first picture of socket 1 is number 1).
fill_image_fill_image_2optIMAGEURLs of images to be filled for redux prompting Each socket may carry a batch; they are sent in socket order (the first picture of socket 1 is number 1).
fill_image_fill_image_3optIMAGEURLs of images to be filled for redux prompting Each socket may carry a batch; they are sent in socket order (the first picture of socket 1 is number 1).
fill_image_fill_image_4optIMAGEURLs of images to be filled for redux prompting Each socket may carry a batch; they are sent in socket order (the first picture of socket 1 is number 1).
fill_image_fill_image_5optIMAGEURLs of images to be filled for redux prompting Each socket may carry a batch; they are sent in socket order (the first picture of socket 1 is number 1).
fill_image_fill_image_6optIMAGEURLs of images to be filled for redux prompting Each socket may carry a batch; they are sent in socket order (the first picture of socket 1 is number 1).
reference_imageoptIMAGEURL of Image for Reference-Only
max_cost_usdoptFLOAT20.00–100000Safety cap. If the estimated cost of this run is above this many US dollars the node stops BEFORE sending anything to fal. 0 = no cap.
reuse_identical_runoptBOOLEANtrueIf these exact inputs (the settings AND the same pictures/clips/audio) were already paid for and the files are still in output/fal, return them instead of paying again - also after a ComfyUI restart. Turn off for a fresh take with the same settings.
extra_jsonoptSTRINGAdvanced: a JSON object merged into the request last, for any fal field this node has no box for. Example: {"seed": 7}. Leave empty normally.
max_concurrentoptINT11–32How many paid fal calls may run at the same time in one run, across every fal node. 1 (default) = one after another. This node starts its paid part only while fewer than this many fal calls are running. Once any fal node fails, the ones still waiting are not started, so nothing more is billed.

Outputs (7)

NameTypeDescription
imagesIMAGE—
image_pathsSTRING—
timingsSTRING—
has_nsfw_conceptsSTRING—
promptSTRING—
seedINT—
infoSTRINGJSON: request id, cost estimate, saved files and fal's full answer.