Prediction failed.
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Prediction failed.

photomaker-v1.bin unavailable. View the list of available weights: https://github.com/fofr/cog-comfyui/blob/main/supported_weights.md

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    },
    "class_type": "PreviewImage",
    "_meta": {
      "title": "Preview image-mask blend"
    }
  },
  "132": {
    "inputs": {
      "filename_prefix": "ComfyUI",
      "images": [
        "76",
        0
      ]
    },
    "class_type": "SaveImage",
    "_meta": {
      "title": "Output save image"
    }
  }
}

import Replicate from "replicate";

import { NextApiRequest, NextApiResponse } from "next";

export default async function handler(
  req: NextApiRequest,
  res: NextApiResponse
) {
  const replicate = new Replicate({
    auth: process.env.REPLICATE_API_TOKEN,
  });

  const workflow = {
    "3": {
      "inputs": {
        "seed": 156680208700286,
        "steps": 20,
        "cfg": 8,
        "sampler_name": "euler",
        "scheduler": "normal",
        "denoise": 1,
        "model": [
          "4",
          0
        ],
        "positive": [
          "6",
          0
        ],
        "negative": [
          "7",
          0
        ],
        "latent_image": [
          "5",
          0
        ]
      },
      "class_type": "KSampler",
      "_meta": {
        "title": "KSampler"
      }
    },
    "4": {
      "inputs": {
        "ckpt_name": "dreamshaperXL_alpha2Xl10.safetensors"
      },
      "class_type": "CheckpointLoaderSimple",
      "_meta": {
        "title": "Load Checkpoint"
      }
    },
    "5": {
      "inputs": {
        "width": 1024,
        "height": 1024,
        "batch_size": 4
      },
      "class_type": "EmptyLatentImage",
      "_meta": {
        "title": "Empty Latent Image"
      }
    },
    "6": {
      "inputs": {
        "text": "beautiful scenery nature glass bottle landscape, purple galaxy bottle,",
        "clip": [
          "4",
          1
        ]
      },
      "class_type": "CLIPTextEncode",
      "_meta": {
        "title": "CLIP Text Encode (Prompt)"
      }
    },
    "7": {
      "inputs": {
        "text": "text, watermark",
        "clip": [
          "4",
          1
        ]
      },
      "class_type": "CLIPTextEncode",
      "_meta": {
        "title": "CLIP Text Encode (Prompt)"
      }
    },
    "8": {
      "inputs": {
        "samples": [
          "3",
          0
        ],
        "vae": [
          "4",
          2
        ]
      },
      "class_type": "VAEDecode",
      "_meta": {
        "title": "VAE Decode"
      }
    },
    "9": {
      "inputs": {
        "filename_prefix": "ComfyUI",
        "images": [
          "8",
          0
        ]
      },
      "class_type": "SaveImage",
      "_meta": {
        "title": "Save Image"
      }
    }
  }
  
  const output = await replicate.run(
    "fofr/any-comfyui-workflow:f8bbe354839d762488971160872eac54dc1c9e61462e91743d360d1d640020c6",
    {
      input: {
        workflow_json: JSON.stringify(workflow, null, 2),
        randomise_seeds: true,
        return_temp_files: false,
      },
    }
  );
  console.log(output);
  res.json({ output: JSON.stringify(output) });
}

Checking inputs
====================================
Checking weights
⏳ Downloading juggernautXL_v8Rundiffusion.safetensors to ComfyUI/models/checkpoints
⌛️ Downloaded juggernautXL_v8Rundiffusion.safetensors in 30.40s, size: 6776.19MB
✅ juggernautXL_v8Rundiffusion.safetensors
⏳ Downloading 4x_NMKD-Siax_200k.pth to ComfyUI/models/upscale_models
⌛️ Downloaded 4x_NMKD-Siax_200k.pth in 0.03s, size: 0.05MB
✅ 4x_NMKD-Siax_200k.pth
====================================
Randomising seed to 150777435
Randomising seed to 1634076115
Running workflow
got prompt
Executing node 2, title: Load Checkpoint, class type: CheckpointLoaderSimple
model_type EPS
adm 2816
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
missing {'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_l.logit_scale'}
left over keys: dict_keys(['cond_stage_model.clip_l.transformer.text_model.embeddings.position_ids'])
Executing node 4, title: positive prompt, class type: CLIPTextEncode
Requested to load SDXLClipModel
Loading 1 new model
Executing node 5, title: negative prompt, class type: CLIPTextEncode
Executing node 6, title: Empty Latent Image, class type: EmptyLatentImage
Executing node 1, title: KSampler, class type: KSampler
Requested to load SDXL
Loading 1 new model
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Requested to load AutoencoderKL
Loading 1 new model
Executing node 7, title: VAE Decode, class type: VAEDecode
Executing node 25, title: Load Upscale Model, class type: UpscaleModelLoader
ERROR:root:!!! Exception during processing !!!
ERROR:root:Traceback (most recent call last):
File "/src/ComfyUI/execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "/src/ComfyUI/execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "/src/ComfyUI/execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "/src/ComfyUI/comfy_extras/nodes_upscale_model.py", line 20, in load_model
sd = comfy.utils.load_torch_file(model_path, safe_load=True)
File "/src/ComfyUI/custom_nodes/ComfyUI-PhotoMaker/.patches.py", line 12, in load_torch_file
pl_sd = torch.load(ckpt, map_location=device, weights_only=True)
File "/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torch/serialization.py", line 1039, in load
raise pickle.UnpicklingError(UNSAFE_MESSAGE + str(e)) from None
_pickle.UnpicklingError: Weights only load failed. Re-running `torch.load` with `weights_only` set to `False` will likely succeed, but it can result in arbitrary code execution.Do it only if you get the file from a trusted source. WeightsUnpickler error: Unsupported operand 60
Prompt executed in 12.80 seconds
outputs:  {}
====================================
Contents of /tmp/outputs:

Running 'bash' in Docker with the current directory mounted as a volume...
root@c484976c6fd1:/src# cd ComfyUI/
root@c484976c6fd1:/src/ComfyUI# python main.py --listen 0.0.0.0
Total VRAM 9976 MB, total RAM 31820 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
VAE dtype: torch.bfloat16
Using pytorch cross attention
[tinyterraNodes] Loaded
### Loading: ComfyUI-Inspire-Pack (V0.59)
------------------------------------------
Comfyroll Studio v1.76 :  175 Nodes Loaded
------------------------------------------
** For changes, please see patch notes at https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/blob/main/Patch_Notes.md
** For help, please see the wiki at https://github.com/Suzie1/ComfyUI_Comfyroll_CustomNodes/wiki
------------------------------------------
Total VRAM 9976 MB, total RAM 31820 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3080 : cudaMallocAsync
VAE dtype: torch.bfloat16
[ReActor] - STATUS - Running v0.4.1-b9 in ComfyUI
Torch version: 2.2.1+cu121
FizzleDorf Custom Nodes: Loaded
### Loading: ComfyUI-Impact-Pack (V4.76.1)
### ComfyUI-Impact-Pack is missing dependencies