HiDream E1.1 Image Editing

# Python 3.10+: pip install comfy-sdk==0.4.0
import os

from comfy_sdk import Comfy

api_key = os.environ.get("COMFY_API_KEY", "").strip()
if not api_key: raise RuntimeError("Set COMFY_API_KEY")
os.environ.setdefault("COMFY_BASE_URL", "https://cloud.comfy.org")
client = Comfy(api_key=api_key)
workflow = client.workflows.from_json({
    "6": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "42",
                0
            ],
            "text": "Change the image to let the girl’s hair fall loose around her shoulders, natural and flowing. Don’t change other parts"
        },
        "_meta": {
            "title": "Positive"
        }
    },
    "7": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "42",
                0
            ],
            "text": "low quality, blurry, distorted"
        },
        "_meta": {
            "title": "Negative"
        }
    },
    "8": {
        "class_type": "VAEDecode",
        "inputs": {
            "samples": [
                "54",
                0
            ],
            "vae": [
                "43",
                0
            ]
        },
        "_meta": {
            "title": "VAE Decode"
        }
    },
    "9": {
        "class_type": "SaveImage",
        "inputs": {
            "filename_prefix": "ComfyUI",
            "images": [
                "8",
                0
            ]
        },
        "_meta": {
            "title": "Save Image"
        }
    },
    "13": {
        "class_type": "LoadImage",
        "inputs": {
            "image": "hidream_e1_1_input_image.jpg"
        },
        "_meta": {
            "title": "Load Image"
        }
    },
    "41": {
        "class_type": "UNETLoader",
        "inputs": {
            "unet_name": "hidream_e1_1_bf16.safetensors",
            "weight_dtype": "fp8_e4m3fn_fast"
        },
        "_meta": {
            "title": "Load Diffusion Model"
        }
    },
    "42": {
        "class_type": "QuadrupleCLIPLoader",
        "inputs": {
            "clip_name1": "clip_g_hidream.safetensors",
            "clip_name2": "clip_l_hidream.safetensors",
            "clip_name3": "t5xxl_fp8_e4m3fn_scaled.safetensors",
            "clip_name4": "llama_3.1_8b_instruct_fp8_scaled.safetensors"
        },
        "_meta": {
            "title": "Load CLIP (Quadruple)"
        }
    },
    "43": {
        "class_type": "VAELoader",
        "inputs": {
            "vae_name": "ae.safetensors"
        },
        "_meta": {
            "title": "Load VAE"
        }
    },
    "45": {
        "class_type": "ImageScaleToTotalPixels",
        "inputs": {
            "image": [
                "13",
                0
            ],
            "megapixels": 1,
            "resolution_steps": 1,
            "upscale_method": "area"
        },
        "_meta": {
            "title": "Scale Image to Total Pixels"
        }
    },
    "46": {
        "class_type": "KSamplerSelect",
        "inputs": {
            "sampler_name": "euler"
        },
        "_meta": {
            "title": "KSamplerSelect"
        }
    },
    "47": {
        "class_type": "RandomNoise",
        "inputs": {
            "noise_seed": 567500569211369
        },
        "_meta": {
            "title": "RandomNoise"
        }
    },
    "49": {
        "class_type": "BasicScheduler",
        "inputs": {
            "denoise": 1,
            "model": [
                "55",
                0
            ],
            "scheduler": "simple",
            "steps": 20
        },
        "_meta": {
            "title": "BasicScheduler"
        }
    },
    "52": {
        "class_type": "InstructPixToPixConditioning",
        "inputs": {
            "negative": [
                "7",
                0
            ],
            "pixels": [
                "45",
                0
            ],
            "positive": [
                "6",
                0
            ],
            "vae": [
                "43",
                0
            ]
        },
        "_meta": {
            "title": "InstructPixToPixConditioning"
        }
    },
    "53": {
        "class_type": "DualCFGGuider",
        "inputs": {
            "cfg_cond2_negative": 1.5,
            "cfg_conds": 3,
            "cond1": [
                "52",
                0
            ],
            "cond2": [
                "52",
                1
            ],
            "model": [
                "55",
                0
            ],
            "negative": [
                "6",
                0
            ],
            "style": "regular"
        },
        "_meta": {
            "title": "Dual CFG Guider"
        }
    },
    "54": {
        "class_type": "SamplerCustomAdvanced",
        "inputs": {
            "guider": [
                "53",
                0
            ],
            "latent_image": [
                "52",
                2
            ],
            "noise": [
                "47",
                0
            ],
            "sampler": [
                "46",
                0
            ],
            "sigmas": [
                "49",
                0
            ]
        },
        "_meta": {
            "title": "SamplerCustomAdvanced"
        }
    },
    "55": {
        "class_type": "CFGNorm",
        "inputs": {
            "model": [
                "41",
                0
            ],
            "pre_cfg": False,
            "strength": 1
        },
        "_meta": {
            "title": "CFGNorm"
        }
    }
})

# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)