GET
/v1/schemas/fal/image/fal-ai%2Fflux-general%2Frf-inversion
Accept:
Request body
36 properties · 2 required · 8 $defs| property | type | description | constraints |
|---|---|---|---|
| prompt* | string | The prompt to edit the image with | |
| image_url* | string | URL of image to be edited | |
| reverse_guidance_end | integer | Timestep to stop guidance during reverse process. | default: 8 |
| use_beta_schedule | boolean | Specifies whether beta sigmas ought to be used. | default: false |
| controlnets | ControlNet[] | The controlnets to use for the image generation. Only one controlnet is supported at the moment. | default: [] |
| image_size | ImageSize | enum | The size of the generated image. | |
| reverse_guidance_start | integer | Timestep to start guidance during reverse process. | default: 0 |
| loras | LoraWeight[] | The 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. | default: [] |
| use_cfg_zero | boolean | Uses CFG-zero init sampling as in https://arxiv.org/abs/2503.18886. | default: false |
| reference_start | number | The percentage of the total timesteps when the reference guidance is to bestarted. | 0 ≤ n ≤ 1 · default: 0 |
| nag_end | number | The 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. | 0 < n ≤ 1 · default: 0.25 |
| controller_guidance_forward | number | The controller guidance (gamma) used in the creation of structured noise. | 0.01 ≤ n ≤ 3 · default: 0.6 |
| fill_image | ImageFillInput | Use an image input to influence the generation. Can be used to fill images in masked areas. | nullable |
| max_shift | number | Max shift for the scheduled timesteps | 0.01 ≤ n ≤ 5 · default: 1.15 |
| reverse_guidance_schedule | enum | Scheduler for applying reverse guidance. | constant | linear_increase | linear_decrease · default: "constant" |
| num_images | integer | The number of images to generate. This is always set to 1 for streaming output. | 1 ≤ n ≤ 10 · default: 1 |
| base_shift | number | Base shift for the scheduled timesteps | 0.01 ≤ n ≤ 5 · default: 0.5 |
| guidance_scale | number | 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 you. | 0 ≤ n ≤ 20 · default: 3.5 |
| enable_safety_checker | boolean | If set to true, the safety checker will be enabled. | default: true |
| nag_tau | number | 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 unexpected changes with respect to the original image. Not recommended to change this value. | n > 0 · default: 2.5 |
| sync_mode | boolean | If `True`, the media will be returned as a data URI and the output data won't be available in the request history. | default: false |
| reference_strength | number | Strength of reference_only generation. Only used if a reference image is provided. | -3 ≤ n ≤ 3 · default: 0.65 |
| controlnet_unions | ControlNetUnion[] | The controlnet unions to use for the image generation. Only one controlnet is supported at the moment. | default: [] |
| reference_end | number | The percentage of the total timesteps when the reference guidance is to be ended. | 0 ≤ n ≤ 1 · default: 1 |
| nag_scale | number | The scale for NAG. Higher values will result in a image that is more distant to the negative prompt. | 1 < n ≤ 10 · default: 3 |
| reference_image_url | string | URL of Image for Reference-Only | |
| output_format | enum | The format of the generated image. | jpeg | png · default: "png" |
| nag_alpha | number | 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 direction of the positive prompt. Higher values will result in less steering on the normalized guidance where lo… | 0 < n ≤ 1 · default: 0.25 |
| control_loras | ControlLoraWeight[] | The 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. | default: [] |
| num_inference_steps | integer | The number of inference steps to perform. | 1 ≤ n ≤ 50 · default: 28 |
| easycontrols | EasyControlWeight[] | EasyControl Inputs to use for image generation. | default: [] |
| negative_prompt | string | Negative prompt to steer the image generation away from unwanted features. By default, we will be using NAG for processing the negative prompt. | default: "" |
| seed | integer | The same seed and the same prompt given to the same version of the model will output the same image every time. | nullable |
| controller_guidance_reverse | number | The controller guidance (eta) used in the denoising process.Using values closer to 1 will result in an image closer to input. | 0.01 ≤ n ≤ 3 · default: 0.75 |
| sigma_schedule | const | Sigmas schedule for the denoising process. | "sgm_uniform" · nullable |
| scheduler | enum | Scheduler for the denoising process. | euler | dpmpp_2m · default: "euler" |
Validate a payload
before you spend tokensshell
$ curl -X POST https://modelschemas.com/v1/validate \
-d '{"provider":"fal","endpointId":"fal-ai/flux-general/rf-inversion","payload":{…}}'
→ {"valid": false, "errors": [{"path": "#", "keyword": "required", …}]}