Help with txt2img API

[alenko]

Trying to use API txt2img, that works but not with script Adetailer
It works in UI, but not on API

[vladmandic]

params for each script are set by script itself, so as much as i'd like to help this is a question for adetailer.

[alenko]

Well, the DDetailer works this way, doesnt say that doesnt exists. But for aDetailer says it doesnt exists

[vladmandic]

you haven't posted any code, just a partial screenshot

[alenko]

Its just api that connects to {url}/sdapi/v1/txt2img
no big deal.

chosen_prompt = prompts[index]
    payload = {
        "Model": "cyberrealistic_v33",        
        "prompt": f"{chosen_prompt}, ((detailed face)), high resolution face, piercing eyes, Anti-Aliasing, FXAA, De-Noise, Post-Production, SFX, insanely detailed & intricate, hypermaximalist, elegant",
        "negative_prompt": "bad proportions, bad nose, asymmetric ears, broken wrist, additional limbs, asymmetric, collapsed eyeshadow, altered appendages, broken finger, bad anatomy, elongated throat, double face, conjoined, bad face, broken hand, out of frame, disconnected limb, 3d, bad ears, amputee, cross-eyed, disfigured, cartoon, bad eyes, cloned face, combined appendages, broken leg, copied visage, absent limbs, childish, cropped head, cloned head, desiccated, duplicated features, dismembered, disproportionate, cripple, bad face",
        "width": 1024,
        "height": 1024,
        "sampler_name": "DPM SDE",
        "backend": "Diffusers",
        "Sampler": "DPM SDE",
        "cfg_scale": 5.0,
        "steps": 30,
        "script_name": "adetailer",
        "script_args": [
  {
    "name": "adetailer",
    "is_alwayson": True,
    "is_img2img": False,
    "args": [
      {
        "label": "Enable ADetailer",
        "value": True,
        "minimum": "10",
        "maximum": "30",
        "step": "30",
        "choices": "5"
      },
      {
        "label": "ADetailer model",
        "value": {
          "ad_model": "face_yolov8n.pt",
          "ad_prompt": "Blue EYES",
          "ad_negative_prompt": "Dark, gree eyes, brown eyes",
          "ad_confidence": 0.3,
          "ad_mask_k_largest": 0,
          "ad_mask_min_ratio": 0,
          "ad_mask_max_ratio": 1,
          "ad_x_offset": 0,
          "ad_y_offset": 0,
          "ad_dilate_erode": 4,
          "ad_mask_merge_invert": "None",
          "ad_mask_blur": 4,
          "ad_denoising_strength": 0.4,
          "ad_inpaint_only_masked": True,
          "ad_inpaint_only_masked_padding": 32,
          "ad_use_inpaint_width_height": False,
          "ad_inpaint_width": 1024,
          "ad_inpaint_height": 1024,
          "ad_use_steps": False,
          "ad_steps": 28,
          "ad_use_cfg_scale": True,
          "ad_cfg_scale": 7,
          "ad_use_checkpoint": False,
          "ad_checkpoint": "Use same checkpoint",
          "ad_use_vae": True,
          "ad_vae": "Use same VAE",
          "ad_use_sampler": False,
          "ad_sampler": "Default",
          "ad_use_noise_multiplier": False,
          "ad_noise_multiplier": 1,
          "ad_use_clip_skip": False,
          "ad_clip_skip": 1,
          "ad_restore_face": False,
          "ad_controlnet_model": "None",
          "ad_controlnet_module": "None",
          "ad_controlnet_weight": 1,
          "ad_controlnet_guidance_start": 0,
          "ad_controlnet_guidance_end": 1
        },
        "minimum": "10",
        "maximum": "30",
        "step": "20",
        "choices": "5"
      }
    ]
  }
]        
          
          

    }

    response = requests.post(url=f'{url}/sdapi/v1/txt2img', json=payload)
    r = response.json()
    print(r)
    image = Image.open(io.BytesIO(base64.b64decode(r['images'][0])))

    
    random_filename = ''.join(random.choices(string.ascii_lowercase + string.digits, k=10)) + f'_index{index}.png'