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FLUX.1 General

Credit-based pricing. Supports batch up to 4.

FLUX.1 General preview
Output
image
Aspect ratio
1:1, 16:9, 9:16, 4:3, 3:4, 21:9, 9:21, Custom
Resolution
512, 1024, 2048
Max batch
4

Inputs

  • Batch up to 4 per request

Example prompt

A Renaissance-style oil painting of an astronaut floating weightless inside a Baroque palace hall, ornate frescoed ceiling, chandeliers casting warm golden light, zero-gravity wine goblets drifting, dramatic chiaroscuro, photorealistic fine detail
Try this prompt →
LLM-ready

API & LLM schema

Exact request contract for this model. Agents can fetch it from /api/v1/models?id=fal-ai/flux-general.

POST/api/v1/generate44 fields · 2 required
FieldTypeRequirementContract
model_idconstantRequiredArtEmotion model identifier.
extraobjectOptionalModel-specific settings may also be nested here.
max_creditsnumberOptionalReject before submission if the estimated list price exceeds this cap. · Range: 1–…
webhook_urlstringOptionalFormat: uri
webhook_secretstringOptionalOptional model input.
folder_idstringOptionalOptional model input.
promptstringRequiredOptional model input.
lora_pathstringOptionalURL or path to the first LoRA weights. · Default:
lora_scalenumberOptionalBlend strength for LoRA 1 (0 = off, 1 = full). · Default: 1 · Range: -4–4
lora_path_2stringOptionalURL or path to the second LoRA weights. · Default:
lora_scale_2numberOptionalBlend strength for LoRA 2. · Default: 1 · Range: -4–4
lora_path_3stringOptionalURL or path to the third LoRA weights. · Default:
lora_scale_3numberOptionalBlend strength for LoRA 3. · Default: 1 · Range: -4–4
output_formatstringOptionalThe format of the generated image. · Allowed: jpeg, png · Default: png
base_shiftnumberOptionalBase shift for the scheduled timesteps · Default: 0.5 · Range: 0.01–5
sigma_schedulestringOptionalSigmas schedule for the denoising process. · Allowed: sgm_uniform
reference_endnumberOptionalThe percentage of the total timesteps when the reference guidance is to be ended. · Default: 1 · Range: 0–1
real_cfg_scalenumberOptionalThe 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 · Default: 3.5 · Range: 0–5
nag_endnumberOptionalThe proportion of steps to apply NAG. After the specified proportion of steps has been iterated, the remaining steps will use original attention proce · Default: 0.25 · Range: …–1
reference_strengthnumberOptionalStrength of reference_only generation. Only used if a reference image is provided. · Default: 0.65 · Range: -3–3
seedintegerOptionalThe same seed and the same prompt given to the same version of the model will output the same image every time.
use_beta_schedulebooleanOptionalSpecifies whether beta sigmas ought to be used. · Default: false
negative_promptstringOptionalNegative prompt to steer the image generation away from unwanted features. By default, we will be using NAG for processing the negative prompt. · Default:
nag_taunumberOptionalThe tau for NAG. Controls the normalization of the hidden state. Higher values will result in a less aggressive normalization, but may also lead to un · Default: 2.5
reference_startnumberOptionalThe percentage of the total timesteps when the reference guidance is to bestarted. · Default: 0 · Range: 0–1
max_shiftnumberOptionalMax shift for the scheduled timesteps · Default: 1.15 · Range: 0.01–5
guidance_scalenumberOptionalThe 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 · Default: 3.5 · Range: 0–20
reference_image_urlstringOptionalURL of Image for Reference-Only
schedulerstringOptionalScheduler for the denoising process. · Allowed: euler, dpmpp_2m · Default: euler
nag_alphanumberOptionalThe alpha value for NAG. This value is used as a final weighting factor for steering the normalized guidance (positive and negative prompts) in the di · Default: 0.25 · Range: …–1
use_cfg_zerobooleanOptionalUses CFG-zero init sampling as in https://arxiv.org/abs/2503.18886. · Default: false
use_real_cfgbooleanOptionalUses 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 · Default: false
nag_scalenumberOptionalThe scale for NAG. Higher values will result in a image that is more distant to the negative prompt. · Default: 3 · Range: …–10
enable_safety_checkerbooleanOptionalIf set to true, the safety checker will be enabled. · Default: true
num_inference_stepsnumberOptionalThe number of inference steps to perform. · Default: 28 · Range: 1–50
fill_imagestringOptionalURL of an image used to fill masked areas / influence the generation.
controlnetsobjectOptionalJSON array of ControlNet configs, e.g. [{"path":"...","control_image_url":"...","conditioning_scale":1}]. Only one controlnet is supported at this time.
controlnet_unionsobjectOptionalJSON array of ControlNet Union configs, e.g. [{"path":"...","controls":[...]}].
ip_adaptersobjectOptionalJSON array of IP-Adapter configs, e.g. [{"path":"...","image_encoder_path":"...","image_url":"...","scale":1}].
control_lorasobjectOptionalJSON array of control-image LoRAs, e.g. [{"path":"...","control_image_url":"...","scale":1,"preprocess":"canny"}].
easycontrolsobjectOptionalJSON array of EasyControl inputs, e.g. [{"control_method_url":"...","image_url":"...","image_control_type":"...","scale":1}].
aspect_ratiostringOptionalAllowed: 1:1, 16:9, 9:16, 4:3, 3:4, 21:9, 9:21, Custom
resolutionstringOptionalAllowed: 512, 1024, 2048
num_imagesintegerOptionalRange: 1–4
Minimal request example
{
  "model_id": "fal-ai/flux-general",
  "prompt": "A Renaissance-style oil painting of an astronaut floating weightless inside a Baroque palace hall, ornate frescoed ceiling, chandeliers casting warm golden light, zero-gravity wine goblets drifting, dramatic chiaroscuro, photorealistic fine detail"
}
Raw JSON Schema
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://www.artemotion.ai/api/v1/models?id=fal-ai%2Fflux-general",
  "title": "FLUX.1 General generation request",
  "description": "Request body accepted by POST /api/v1/generate for fal-ai/flux-general.",
  "type": "object",
  "properties": {
    "model_id": {
      "type": "string",
      "const": "fal-ai/flux-general",
      "description": "ArtEmotion model identifier."
    },
    "extra": {
      "type": "object",
      "additionalProperties": true,
      "description": "Model-specific settings may also be nested here."
    },
    "max_credits": {
      "type": "number",
      "minimum": 1,
      "description": "Reject before submission if the estimated list price exceeds this cap."
    },
    "webhook_url": {
      "type": "string",
      "format": "uri",
      "maxLength": 2048
    },
    "webhook_secret": {
      "type": "string",
      "maxLength": 512
    },
    "folder_id": {
      "type": "string"
    },
    "prompt": {
      "type": "string"
    },
    "lora_path": {
      "title": "LoRA 1",
      "description": "URL or path to the first LoRA weights.",
      "default": "",
      "type": "string"
    },
    "lora_scale": {
      "title": "LoRA 1 Scale",
      "description": "Blend strength for LoRA 1 (0 = off, 1 = full).",
      "default": 1,
      "type": "number",
      "minimum": -4,
      "maximum": 4,
      "multipleOf": 0.05
    },
    "lora_path_2": {
      "title": "LoRA 2",
      "description": "URL or path to the second LoRA weights.",
      "default": "",
      "type": "string"
    },
    "lora_scale_2": {
      "title": "LoRA 2 Scale",
      "description": "Blend strength for LoRA 2.",
      "default": 1,
      "type": "number",
      "minimum": -4,
      "maximum": 4,
      "multipleOf": 0.05
    },
    "lora_path_3": {
      "title": "LoRA 3",
      "description": "URL or path to the third LoRA weights.",
      "default": "",
      "type": "string"
    },
    "lora_scale_3": {
      "title": "LoRA 3 Scale",
      "description": "Blend strength for LoRA 3.",
      "default": 1,
      "type": "number",
      "minimum": -4,
      "maximum": 4,
      "multipleOf": 0.05
    },
    "output_format": {
      "title": "Output Format",
      "description": "The format of the generated image.",
      "default": "png",
      "type": "string",
      "enum": [
        "jpeg",
        "png"
      ]
    },
    "base_shift": {
      "title": "Base Shift",
      "description": "Base shift for the scheduled timesteps",
      "default": 0.5,
      "type": "number",
      "minimum": 0.01,
      "maximum": 5
    },
    "sigma_schedule": {
      "title": "Sigma Schedule",
      "description": "Sigmas schedule for the denoising process.",
      "type": "string",
      "enum": [
        "sgm_uniform"
      ]
    },
    "reference_end": {
      "title": "Reference End",
      "description": "The percentage of the total timesteps when the reference guidance is to be ended.",
      "default": 1,
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "real_cfg_scale": {
      "title": "Real Cfg Scale",
      "description": "The 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",
      "default": 3.5,
      "type": "number",
      "minimum": 0,
      "maximum": 5
    },
    "nag_end": {
      "title": "Nag End",
      "description": "The proportion of steps to apply NAG. After the specified proportion of steps has been iterated, the remaining steps will use original attention proce",
      "default": 0.25,
      "type": "number",
      "maximum": 1
    },
    "reference_strength": {
      "title": "Reference Strength",
      "description": "Strength of reference_only generation. Only used if a reference image is provided.",
      "default": 0.65,
      "type": "number",
      "minimum": -3,
      "maximum": 3
    },
    "seed": {
      "title": "Seed",
      "description": "The same seed and the same prompt given to the same version of the model will output the same image every time.",
      "type": "integer"
    },
    "use_beta_schedule": {
      "title": "Use Beta Schedule",
      "description": "Specifies whether beta sigmas ought to be used.",
      "default": false,
      "type": "boolean"
    },
    "negative_prompt": {
      "title": "Negative Prompt",
      "description": "Negative prompt to steer the image generation away from unwanted features. By default, we will be using NAG for processing the negative prompt.",
      "default": "",
      "type": "string"
    },
    "nag_tau": {
      "title": "Nag Tau",
      "description": "The tau for NAG. Controls the normalization of the hidden state. Higher values will result in a less aggressive normalization, but may also lead to un",
      "default": 2.5,
      "type": "number"
    },
    "reference_start": {
      "title": "Reference Start",
      "description": "The percentage of the total timesteps when the reference guidance is to bestarted.",
      "default": 0,
      "type": "number",
      "minimum": 0,
      "maximum": 1
    },
    "max_shift": {
      "title": "Max Shift",
      "description": "Max shift for the scheduled timesteps",
      "default": 1.15,
      "type": "number",
      "minimum": 0.01,
      "maximum": 5
    },
    "guidance_scale": {
      "title": "Guidance Scale",
      "description": "The 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",
      "default": 3.5,
      "type": "number",
      "minimum": 0,
      "maximum": 20
    },
    "reference_image_url": {
      "title": "Reference Image Url",
      "description": "URL of Image for Reference-Only",
      "type": "string"
    },
    "scheduler": {
      "title": "Scheduler",
      "description": "Scheduler for the denoising process.",
      "default": "euler",
      "type": "string",
      "enum": [
        "euler",
        "dpmpp_2m"
      ]
    },
    "nag_alpha": {
      "title": "Nag Alpha",
      "description": "The alpha value for NAG. This value is used as a final weighting factor for steering the normalized guidance (positive and negative prompts) in the di",
      "default": 0.25,
      "type": "number",
      "maximum": 1
    },
    "use_cfg_zero": {
      "title": "Use Cfg Zero",
      "description": "Uses CFG-zero init sampling as in https://arxiv.org/abs/2503.18886.",
      "default": false,
      "type": "boolean"
    },
    "use_real_cfg": {
      "title": "Use Real Cfg",
      "description": "Uses 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",
      "default": false,
      "type": "boolean"
    },
    "nag_scale": {
      "title": "Nag Scale",
      "description": "The scale for NAG. Higher values will result in a image that is more distant to the negative prompt.",
      "default": 3,
      "type": "number",
      "maximum": 10
    },
    "enable_safety_checker": {
      "title": "Enable Safety Checker",
      "description": "If set to true, the safety checker will be enabled.",
      "default": true,
      "type": "boolean"
    },
    "num_inference_steps": {
      "title": "Num Inference Steps",
      "description": "The number of inference steps to perform.",
      "default": 28,
      "type": "number",
      "minimum": 1,
      "maximum": 50,
      "multipleOf": 1
    },
    "fill_image": {
      "title": "Fill Image URL",
      "description": "URL of an image used to fill masked areas / influence the generation.",
      "type": "string"
    },
    "controlnets": {
      "title": "ControlNets (JSON)",
      "description": "JSON array of ControlNet configs, e.g. [{\"path\":\"...\",\"control_image_url\":\"...\",\"conditioning_scale\":1}]. Only one controlnet is supported at this time.",
      "type": "object",
      "additionalProperties": true
    },
    "controlnet_unions": {
      "title": "ControlNet Unions (JSON)",
      "description": "JSON array of ControlNet Union configs, e.g. [{\"path\":\"...\",\"controls\":[...]}].",
      "type": "object",
      "additionalProperties": true
    },
    "ip_adapters": {
      "title": "IP-Adapters (JSON)",
      "description": "JSON array of IP-Adapter configs, e.g. [{\"path\":\"...\",\"image_encoder_path\":\"...\",\"image_url\":\"...\",\"scale\":1}].",
      "type": "object",
      "additionalProperties": true
    },
    "control_loras": {
      "title": "Control LoRAs (JSON)",
      "description": "JSON array of control-image LoRAs, e.g. [{\"path\":\"...\",\"control_image_url\":\"...\",\"scale\":1,\"preprocess\":\"canny\"}].",
      "type": "object",
      "additionalProperties": true
    },
    "easycontrols": {
      "title": "EasyControls (JSON)",
      "description": "JSON array of EasyControl inputs, e.g. [{\"control_method_url\":\"...\",\"image_url\":\"...\",\"image_control_type\":\"...\",\"scale\":1}].",
      "type": "object",
      "additionalProperties": true
    },
    "aspect_ratio": {
      "type": "string",
      "enum": [
        "1:1",
        "16:9",
        "9:16",
        "4:3",
        "3:4",
        "21:9",
        "9:21",
        "Custom"
      ]
    },
    "resolution": {
      "type": "string",
      "enum": [
        "512",
        "1024",
        "2048"
      ]
    },
    "num_images": {
      "type": "integer",
      "minimum": 1,
      "maximum": 4
    }
  },
  "required": [
    "model_id",
    "prompt"
  ],
  "additionalProperties": false
}

FAQ

How much does FLUX.1 General cost on ArtEmotion?

Credit-based pricing. You pay in ArtEmotion credits — every plan and top-up converts USD to credits at a fixed rate.

Do I get my credits back if FLUX.1 General fails?

Yes — failed generations are never charged. The credits are released back to your balance automatically.

Can I call FLUX.1 General from the API?

Yes. Use POST /api/v1/generate with model_id: "fal-ai/flux-general". See the API reference for the full schema.

Where are my generations stored?

Every output is saved to your personal Library. You can export or delete everything any time from Privacy & deletion.

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