
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 detailTry 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| Field | Type | Requirement | Contract |
|---|---|---|---|
model_id | constant | Required | ArtEmotion model identifier. |
extra | object | Optional | Model-specific settings may also be nested here. |
max_credits | number | Optional | Reject before submission if the estimated list price exceeds this cap. · Range: 1–… |
webhook_url | string | Optional | Format: uri |
webhook_secret | string | Optional | Optional model input. |
folder_id | string | Optional | Optional model input. |
prompt | string | Required | Optional model input. |
lora_path | string | Optional | URL or path to the first LoRA weights. · Default: |
lora_scale | number | Optional | Blend strength for LoRA 1 (0 = off, 1 = full). · Default: 1 · Range: -4–4 |
lora_path_2 | string | Optional | URL or path to the second LoRA weights. · Default: |
lora_scale_2 | number | Optional | Blend strength for LoRA 2. · Default: 1 · Range: -4–4 |
lora_path_3 | string | Optional | URL or path to the third LoRA weights. · Default: |
lora_scale_3 | number | Optional | Blend strength for LoRA 3. · Default: 1 · Range: -4–4 |
output_format | string | Optional | The format of the generated image. · Allowed: jpeg, png · Default: png |
base_shift | number | Optional | Base shift for the scheduled timesteps · Default: 0.5 · Range: 0.01–5 |
sigma_schedule | string | Optional | Sigmas schedule for the denoising process. · Allowed: sgm_uniform |
reference_end | number | Optional | The percentage of the total timesteps when the reference guidance is to be ended. · Default: 1 · Range: 0–1 |
real_cfg_scale | number | Optional | 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 · Range: 0–5 |
nag_end | number | Optional | 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 · Range: …–1 |
reference_strength | number | Optional | Strength of reference_only generation. Only used if a reference image is provided. · Default: 0.65 · Range: -3–3 |
seed | integer | Optional | The same seed and the same prompt given to the same version of the model will output the same image every time. |
use_beta_schedule | boolean | Optional | Specifies whether beta sigmas ought to be used. · Default: false |
negative_prompt | string | Optional | Negative prompt to steer the image generation away from unwanted features. By default, we will be using NAG for processing the negative prompt. · Default: |
nag_tau | number | Optional | 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 |
reference_start | number | Optional | The percentage of the total timesteps when the reference guidance is to bestarted. · Default: 0 · Range: 0–1 |
max_shift | number | Optional | Max shift for the scheduled timesteps · Default: 1.15 · Range: 0.01–5 |
guidance_scale | number | Optional | 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 · Range: 0–20 |
reference_image_url | string | Optional | URL of Image for Reference-Only |
scheduler | string | Optional | Scheduler for the denoising process. · Allowed: euler, dpmpp_2m · Default: euler |
nag_alpha | number | Optional | 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 · Range: …–1 |
use_cfg_zero | boolean | Optional | Uses CFG-zero init sampling as in https://arxiv.org/abs/2503.18886. · Default: false |
use_real_cfg | boolean | Optional | 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 |
nag_scale | number | Optional | The scale for NAG. Higher values will result in a image that is more distant to the negative prompt. · Default: 3 · Range: …–10 |
enable_safety_checker | boolean | Optional | If set to true, the safety checker will be enabled. · Default: true |
num_inference_steps | number | Optional | The number of inference steps to perform. · Default: 28 · Range: 1–50 |
fill_image | string | Optional | URL of an image used to fill masked areas / influence the generation. |
controlnets | object | Optional | JSON array of ControlNet configs, e.g. [{"path":"...","control_image_url":"...","conditioning_scale":1}]. Only one controlnet is supported at this time. |
controlnet_unions | object | Optional | JSON array of ControlNet Union configs, e.g. [{"path":"...","controls":[...]}]. |
ip_adapters | object | Optional | JSON array of IP-Adapter configs, e.g. [{"path":"...","image_encoder_path":"...","image_url":"...","scale":1}]. |
control_loras | object | Optional | JSON array of control-image LoRAs, e.g. [{"path":"...","control_image_url":"...","scale":1,"preprocess":"canny"}]. |
easycontrols | object | Optional | JSON array of EasyControl inputs, e.g. [{"control_method_url":"...","image_url":"...","image_control_type":"...","scale":1}]. |
aspect_ratio | string | Optional | Allowed: 1:1, 16:9, 9:16, 4:3, 3:4, 21:9, 9:21, Custom |
resolution | string | Optional | Allowed: 512, 1024, 2048 |
num_images | integer | Optional | Range: 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.
Ready to generate with FLUX.1 General?
Start now →No commitment. New accounts get 50 free credits on signup. See pricing.