How does this work in a workflow like this ?{ "Prompt": { "inputs": { "text": "", "clip": [ "11", 0 ] }, "class_type": "CLIPTextEncode", "_meta": { "title": "CLIP Text Encode (Positive Prompt)" } }, "8": { "inputs": { "samples": [ "13", 0 ], "vae": [ "10", 0 ] }, "class_type": "VAEDecode", "_meta": { "title": "VAE Decode" } }, "9": { "inputs": { "images": [ "8", 0 ] }, "class_type": "PreviewImage", "_meta": { "title": "Preview Image" } }, "10": { "inputs": { "vae_name": "ae.sft" }, "class_type": "VAELoader", "_meta": { "title": "Load VAE" } }, "11": { "inputs": { "clip_name1": "t5xxl_fp8_e4m3fn.safetensors", "clip_name2": "clip_l.safetensors", "type": "flux" }, "class_type": "DualCLIPLoader", "_meta": { "title": "DualCLIPLoader" } }, "12": { "inputs": { "unet_name": "flux1-schnell.sft", "weight_dtype": "default" }, "class_type": "UNETLoader", "_meta": { "title": "Load Diffusion Model" } }, "13": { "inputs": { "noise": [ "Seed", 0 ], "guider": [ "22", 0 ], "sampler": [ "16", 0 ], "sigmas": [ "Sampler", 0 ], "latent_image": [ "Latent", 0 ] }, "class_type": "SamplerCustomAdvanced", "_meta": { "title": "SamplerCustomAdvanced" } }, "16": { "inputs": { "sampler_name": "euler" }, "class_type": "KSamplerSelect", "_meta": { "title": "KSamplerSelect" } }, "Sampler": { "inputs": { "scheduler": "simple", "steps": 30, "denoise": 1, "model": [ "12", 0 ] }, "class_type": "BasicScheduler", "_meta": { "title": "BasicScheduler" } }, "22": { "inputs": { "model": [ "12", 0 ], "conditioning": [ "Guidance", 0 ] }, "class_type": "BasicGuider", "_meta": { "title": "BasicGuider" } }, "Seed": { "inputs": { "noise_seed": 600828000128012 }, "class_type": "RandomNoise", "_meta": { "title": "RandomNoise" } }, "Guidance": { "inputs": { "guidance": 3.5, "conditioning": [ "Prompt", 0 ] }, "class_type": "FluxGuidance", "_meta": { "title": "FluxGuidance" } }, "Latent": { "inputs": { "width": 1024, "height": 1024, "batch_size": 1 }, "class_type": "EmptySD3LatentImage", "_meta": { "title": "EmptySD3LatentImage" } } }