parameters should have a default value

[PlexPt]

For /v1/generation/text-to-image Except for prompt, all other parameters should have a default value to facilitate the reduction of learning and understanding costs for the caller. so that we can quickly call

POST /v1/generation/text-to-image
{
"prompt": "something"
}

instead of

{
  "prompt": "red tea",
  "negative_prompt": "",
  "style_selections": [
    "Fooocus V2",
    "Fooocus Enhance",
    "Fooocus Sharp"
  ],
  "performance_selection": "Speed",
  "aspect_ratios_selection": "1152×896",
  "image_number": 1,
  "image_seed": -1,
  "sharpness": 2,
  "guidance_scale": 4,
  "base_model_name": "juggernautXL_version6Rundiffusion.safetensors",
  "refiner_model_name": "None",
  "refiner_switch": 0.5,
  "loras": [
    {
      "model_name": "sd_xl_offset_example-lora_1.0.safetensors",
      "weight": 0.1
    }
  ],
  "advanced_params": {
    "disable_preview": false,
    "adm_scaler_positive": 1.5,
    "adm_scaler_negative": 0.8,
    "adm_scaler_end": 0.3,
    "refiner_swap_method": "joint",
    "adaptive_cfg": 7,
    "sampler_name": "dpmpp_2m_sde_gpu",
    "scheduler_name": "karras",
    "overwrite_step": -1,
    "overwrite_switch": -1,
    "overwrite_width": -1,
    "overwrite_height": -1,
    "overwrite_vary_strength": -1,
    "overwrite_upscale_strength": -1,
    "mixing_image_prompt_and_vary_upscale": false,
    "mixing_image_prompt_and_inpaint": false,
    "debugging_cn_preprocessor": false,
    "skipping_cn_preprocessor": false,
    "controlnet_softness": 0.25,
    "canny_low_threshold": 64,
    "canny_high_threshold": 128,
    "freeu_enabled": false,
    "freeu_b1": 1.01,
    "freeu_b2": 1.02,
    "freeu_s1": 0.99,
    "freeu_s2": 0.95,
    "debugging_inpaint_preprocessor": false,
    "inpaint_disable_initial_latent": false,
    "inpaint_engine": "v1",
    "inpaint_strength": 1,
    "inpaint_respective_field": 1
  },
  "require_base64": false,
  "async_process": false
}

[konieshadow]

@PlexPt Understand. Do not close the issue, I will follow up and reply to you soon.

[PlexPt]

The same applies to other interfaces. Only necessary parameters need to be retained, and other parameters become optional.

[mrhan1993]

@PlexPt if you use python, you can find example here, It uses pydantic to predefine the model to solve the problem that the parameters are too long.

[konieshadow]

@konieshadow 有进展吗

Thank you for the PR. I think it's within this week.

[konieshadow]

@PlexPt Made some optimzation. You can check the dev branch.

[mrhan1993]

@PlexPt i have update docs and example. you can check it