These are the parameters available when using the SDTurbo model.

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Available Controlet for only SDTurbo

SD2.1 Models (stabilityai/sd-turbo):
  • thibaud/controlnet-sd21-openpose-diffusers: Body and hand pose tracking to maintain human poses in the output
  • thibaud/controlnet-sd21-hed-diffusers: Soft edge detection preserving smooth edges and contours
  • thibaud/controlnet-sd21-canny-diffusers: Sharp edge preservation with crisp outlines and details
  • thibaud/controlnet-sd21-depth-diffusers: Preserves spatial depth and 3D structure of objects and faces
  • thibaud/controlnet-sd21-color-diffusers: Color composition passthrough to maintain palette and composition

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Available Parameters for only SDTurbo

Parameters are also loaded with these values as default when creating a new stream on this specific pipeline.
"params": {
          "seed": 789,
          "delta": 0.7,
          "width": 512,
          "height": 512,
          "prompt": "Superman",
          "model_id": "stabilityai/sd-turbo",
          "lora_dict": null,
          "controlnets": [
            {
              "enabled": true,
              "model_id": "thibaud/controlnet-sd21-openpose-diffusers",
              "preprocessor": "pose_tensorrt",
              "conditioning_scale": 0.711,
              "preprocessor_params": {},
              "control_guidance_end": 1,
              "control_guidance_start": 0
            },
            {
              "enabled": true,
              "model_id": "thibaud/controlnet-sd21-hed-diffusers",
              "preprocessor": "soft_edge",
              "conditioning_scale": 0.2,
              "preprocessor_params": {},
              "control_guidance_end": 1,
              "control_guidance_start": 0
            },
            {
              "enabled": true,
              "model_id": "thibaud/controlnet-sd21-canny-diffusers",
              "preprocessor": "canny",
              "conditioning_scale": 0.2,
              "preprocessor_params": {
                "low_threshold": 100,
                "high_threshold": 200
              },
              "control_guidance_end": 1,
              "control_guidance_start": 0
            },
            {
              "enabled": true,
              "model_id": "thibaud/controlnet-sd21-depth-diffusers",
              "preprocessor": "depth_tensorrt",
              "conditioning_scale": 0.5,
              "preprocessor_params": {},
              "control_guidance_end": 1,
              "control_guidance_start": 0
            },
            {
              "enabled": true,
              "model_id": "thibaud/controlnet-sd21-color-diffusers",
              "preprocessor": "passthrough",
              "conditioning_scale": 0.2,
              "preprocessor_params": {},
              "control_guidance_end": 1,
              "control_guidance_start": 0
            }
          ],
          "lcm_lora_id": "latent-consistency/lcm-lora-sdv1-5",
          "acceleration": "tensorrt",
          "do_add_noise": true,
          "t_index_list": [
            12,
            20,
            24
          ],
          "use_lcm_lora": true,
          "guidance_scale": 1,
          "negative_prompt": "blurry, low quality, flat, 2d",
          "num_inference_steps": 25,
          "use_denoising_batch": true,
          "normalize_seed_weights": true,
          "normalize_prompt_weights": true,
          "seed_interpolation_method": "linear",
          "enable_similar_image_filter": false,
          "prompt_interpolation_method": "slerp",
          "similar_image_filter_threshold": 0.98,
          "similar_image_filter_max_skip_frame": 10
        }