Prediction

{
  "id": "fkcqnklbo35y3aig7mgfe526qq",
  "model": "sdxl-based/realvisxl-v3-multi-controlnet-lora",
  "version": "90a4a3604cd637cb9f1a2bdae1cfa9ed869362ca028814cdce310a78e27daade",
  "input": {
    "apply_watermark": false,
    "controlnet_1": "soft_edge_hed",
    "controlnet_1_conditioning_scale": 0.5,
    "controlnet_1_end": 0.8,
    "controlnet_1_image": "https://replicate.delivery/pbxt/JsfCQE8k1lsCinW1yo76yKMQe6R5MRt9WLL3H5T5Ypc5wasq/020e656d-0c71-45c3-a7f5-1facf7d52d4f.png",
    "controlnet_1_start": 0,
    "controlnet_2": "illusion",
    "controlnet_2_conditioning_scale": 1,
    "controlnet_2_end": 0.65,
    "controlnet_2_image": "https://replicate.delivery/pbxt/KAqPeqxKt8MVPNru3R9YaIiKHVuRAoOxKIk1ICtvrUpQ2XXY/spiral_black_transparent-2513050263.jpg",
    "controlnet_2_start": 0.08,
    "controlnet_3": "none",
    "controlnet_3_conditioning_scale": 0.75,
    "controlnet_3_end": 1,
    "controlnet_3_start": 0,
    "guidance_scale": 7.5,
    "height": 1024,
    "lora_scale": 0.8,
    "negative_prompt": "low quality, worst quality, ugly, soft, blurry",
    "num_inference_steps": 50,
    "num_outputs": 1,
    "prompt": "A detailed photo of an astronaut riding a unicorn through a field of flowers",
    "prompt_strength": 0.8,
    "refine": "no_refiner",
    "scheduler": "K_EULER",
    "sizing_strategy": "width_height",
    "width": 1024
  },
  "logs": "Using seed: 50913\nUsing given dimensions\nresize took: 0.04s\nPrompt: A detailed photo of an astronaut riding a unicorn through a field of flowers\nProcessing image with soft_edge_hed\ncontrolnet preprocess took: 0.42s\nUsing txt2img + controlnet pipeline\nLoading pipeline components...:   0%|          | 0/7 [00:00<?, ?it/s]\nLoading pipeline components...: 100%|██████████| 7/7 [00:00<00:00, 13751.82it/s]\nYou have 2 ControlNets and you have passed 1 prompts. The conditionings will be fixed across the prompts.\n  0%|          | 0/50 [00:00<?, ?it/s]\n  2%|▏         | 1/50 [00:00<00:22,  2.17it/s]\n  4%|▍         | 2/50 [00:00<00:22,  2.17it/s]\n  6%|▌         | 3/50 [00:01<00:21,  2.17it/s]\n  8%|▊         | 4/50 [00:01<00:21,  2.17it/s]\n 10%|█         | 5/50 [00:02<00:20,  2.17it/s]\n 12%|█▏        | 6/50 [00:02<00:20,  2.17it/s]\n 14%|█▍        | 7/50 [00:03<00:19,  2.17it/s]\n 16%|█▌        | 8/50 [00:03<00:19,  2.17it/s]\n 18%|█▊        | 9/50 [00:04<00:18,  2.17it/s]\n 20%|██        | 10/50 [00:04<00:18,  2.16it/s]\n 22%|██▏       | 11/50 [00:05<00:18,  2.16it/s]\n 24%|██▍       | 12/50 [00:05<00:17,  2.16it/s]\n 26%|██▌       | 13/50 [00:06<00:17,  2.16it/s]\n 28%|██▊       | 14/50 [00:06<00:16,  2.16it/s]\n 30%|███       | 15/50 [00:06<00:16,  2.16it/s]\n 32%|███▏      | 16/50 [00:07<00:15,  2.16it/s]\n 34%|███▍      | 17/50 [00:07<00:15,  2.16it/s]\n 36%|███▌      | 18/50 [00:08<00:14,  2.16it/s]\n 38%|███▊      | 19/50 [00:08<00:14,  2.16it/s]\n 40%|████      | 20/50 [00:09<00:13,  2.16it/s]\n 42%|████▏     | 21/50 [00:09<00:13,  2.16it/s]\n 44%|████▍     | 22/50 [00:10<00:12,  2.16it/s]\n 46%|████▌     | 23/50 [00:10<00:12,  2.16it/s]\n 48%|████▊     | 24/50 [00:11<00:12,  2.15it/s]\n 50%|█████     | 25/50 [00:11<00:11,  2.15it/s]\n 52%|█████▏    | 26/50 [00:12<00:11,  2.15it/s]\n 54%|█████▍    | 27/50 [00:12<00:10,  2.15it/s]\n 56%|█████▌    | 28/50 [00:12<00:10,  2.15it/s]\n 58%|█████▊    | 29/50 [00:13<00:09,  2.15it/s]\n 60%|██████    | 30/50 [00:13<00:09,  2.15it/s]\n 62%|██████▏   | 31/50 [00:14<00:08,  2.15it/s]\n 64%|██████▍   | 32/50 [00:14<00:08,  2.15it/s]\n 66%|██████▌   | 33/50 [00:15<00:07,  2.15it/s]\n 68%|██████▊   | 34/50 [00:15<00:07,  2.15it/s]\n 70%|███████   | 35/50 [00:16<00:06,  2.15it/s]\n 72%|███████▏  | 36/50 [00:16<00:06,  2.15it/s]\n 74%|███████▍  | 37/50 [00:17<00:06,  2.15it/s]\n 76%|███████▌  | 38/50 [00:17<00:05,  2.15it/s]\n 78%|███████▊  | 39/50 [00:18<00:05,  2.15it/s]\n 80%|████████  | 40/50 [00:18<00:04,  2.15it/s]\n 82%|████████▏ | 41/50 [00:19<00:04,  2.15it/s]\n 84%|████████▍ | 42/50 [00:19<00:03,  2.15it/s]\n 86%|████████▌ | 43/50 [00:19<00:03,  2.15it/s]\n 88%|████████▊ | 44/50 [00:20<00:02,  2.15it/s]\n 90%|█████████ | 45/50 [00:20<00:02,  2.15it/s]\n 92%|█████████▏| 46/50 [00:21<00:01,  2.15it/s]\n 94%|█████████▍| 47/50 [00:21<00:01,  2.14it/s]\n 96%|█████████▌| 48/50 [00:22<00:00,  2.15it/s]\n 98%|█████████▊| 49/50 [00:22<00:00,  2.15it/s]\n100%|██████████| 50/50 [00:23<00:00,  2.15it/s]\n100%|██████████| 50/50 [00:23<00:00,  2.16it/s]\ninference took: 23.66s\nprediction took: 24.44s",
  "output": [
    "https://replicate.delivery/pbxt/L6Goc02N7fXcfEoirX3vE1TUpqJpUFXf0lrtUuzIaPsYT6SkA/control-0.png",
    "https://replicate.delivery/pbxt/vpb5gbXNqtpTBJgfwkU8EMTtCbfs4YuUZkTLbh579SOtJdJSA/control-1.png",
    "https://replicate.delivery/pbxt/Pjd50izNdzJDFJlfczALREnyfGIedK4HufhEVV3tVCK4m0lIB/out-0.png"
  ],
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-01-05T15:29:23.467941Z",
  "started_at": "2024-01-05T15:29:23.505689Z",
  "completed_at": "2024-01-05T15:29:50.723676Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/fkcqnklbo35y3aig7mgfe526qq/cancel",
    "get": "https://api.replicate.com/v1/predictions/fkcqnklbo35y3aig7mgfe526qq"
  },
  "metrics": {
    "predict_time": 27.217987,
    "total_time": 27.255735
  }
}