Flux.1 Schnell FP8

# 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": [
                "30",
                1
            ],
            "text": "A moody, brutalist still-life photograph featuring a weathered raw concrete slab spanning a vast, empty expanse. Spaced deliberately across the rough-textured surface sits a rough, unglazed dark charcoal ceramic cylinder, offset to the right, balanced on the far left by a single dried sea pebble with fine quartz veins and a pale, cracked walnut shell. Harsh, low-raking late afternoon sunlight enters from an acute side angle, casting elongated, dramatic diagonal shadows that stretch across the pitted stone surface into deep, cool-toned negative space. The atmosphere is stark, contemplative, and quiet, rendered with gritty textural fidelity showing microscopic fissures in the concrete, dry earth pigments on the pottery, and sharp chisel-edge highlights. A soft atmospheric haze softens the distant dark plaster wall behind the objects, contrasting the intense tactile sharpness in the foreground."
        },
        "_meta": {
            "title": "CLIP Text Encode (Positive Prompt)"
        }
    },
    "8": {
        "class_type": "VAEDecode",
        "inputs": {
            "samples": [
                "31",
                0
            ],
            "vae": [
                "30",
                2
            ]
        },
        "_meta": {
            "title": "VAE Decode"
        }
    },
    "9": {
        "class_type": "SaveImage",
        "inputs": {
            "filename_prefix": "ComfyUI",
            "images": [
                "8",
                0
            ]
        },
        "_meta": {
            "title": "Save Image"
        }
    },
    "27": {
        "class_type": "EmptySD3LatentImage",
        "inputs": {
            "batch_size": 1,
            "height": 768,
            "width": 1344
        },
        "_meta": {
            "title": "EmptySD3LatentImage"
        }
    },
    "30": {
        "class_type": "CheckpointLoaderSimple",
        "inputs": {
            "ckpt_name": "flux1-schnell-fp8.safetensors"
        },
        "_meta": {
            "title": "Load Checkpoint"
        }
    },
    "31": {
        "class_type": "KSampler",
        "inputs": {
            "cfg": 1,
            "denoise": 1,
            "latent_image": [
                "27",
                0
            ],
            "model": [
                "30",
                0
            ],
            "negative": [
                "33",
                0
            ],
            "positive": [
                "6",
                0
            ],
            "sampler_name": "euler",
            "scheduler": "simple",
            "seed": 173805153958730,
            "steps": 4
        },
        "_meta": {
            "title": "KSampler"
        }
    },
    "33": {
        "class_type": "CLIPTextEncode",
        "inputs": {
            "clip": [
                "30",
                1
            ],
            "text": ""
        },
        "_meta": {
            "title": "CLIP Text Encode (Negative Prompt)"
        }
    }
})

# run() also passes api_key to the partner nodes in this workflow.
job = client.run(workflow, api_key=api_key)
for output in job.get_outputs("9"):
    output.to_file(output.name)