Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- {
- "5": {
- "inputs": {
- "positive_prompt": "A technical product photograph of the back view of a 32mm scale cyber-samurai miniature. The back features modular matte-black carbon fiber armor plates with integrated glowing crimson circuitry lines. The traditional indigo high-tech fabric continues across the back with a distinct, sharp hexagonal texture. Visible power conduits and mechanical joints are rendered with tack-sharp macro focus. The lighting is high-key, even, and omnidirectional studio light, creating a clean white-box product photography aesthetic with crisp edges and industrial sci-fi textures. No text, no watermark, no blur.",
- "negative_prompt": "",
- "generation_mode": "image_to_image",
- "width": 1024,
- "height": 1024,
- "seed": 618912945284091,
- "steps": 20,
- "cfg": 8,
- "sampler_name": "euler",
- "scheduler": "normal",
- "denoise": 0.65,
- "prompt_template": "custom",
- "enable_prompt_enhance": false,
- "batch_size": 1,
- "auraflow_shift": 0,
- "cfg_norm_strength": 0,
- "enable_clean_gpu": false,
- "enable_clean_ram": false,
- "auto_save_folder": "",
- "output_prefix": "z_image",
- "custom_system_prompt": "You are an expert texture-mapping assistant. Your task is to analyze the high-fidelity materials, lighting, and colors in image_2 (the front hero shot) and apply them precisely to the corresponding surfaces of the miniature in image_1 (the back view). Maintain the exact silhouette and pose of image_1 while upgrading all textures to match the 8k macro-photography quality of image_2.",
- "instruction": "Identify the matte-black carbon fiber, the glowing crimson circuitry, and the hexagonal indigo fabric from image_2. Transfer these material properties to the back of the miniature in image_1. Focus on making the edges of the resin-printed armor plates sharp and the glowing lines consistent in intensity. Ensure the final output retains the 100mm macro lens focus and high-key studio lighting of the reference.",
- "model": [
- "14",
- 0
- ],
- "clip": [
- "7",
- 0
- ],
- "vae": [
- "11",
- 0
- ],
- "config": [
- "13",
- 0
- ],
- "options": [
- "8",
- 0
- ],
- "image_1": [
- "6",
- 0
- ],
- "image_2": [
- "9",
- 0
- ],
- "latent": [
- "16",
- 0
- ]
- },
- "class_type": "Z_ImageIntegratedKSampler",
- "_meta": {
- "title": "Z-Image Integrated KSampler"
- }
- },
- "6": {
- "inputs": {
- "image": "back sam wip.png"
- },
- "class_type": "LoadImage",
- "_meta": {
- "title": "Load Image"
- }
- },
- "7": {
- "inputs": {
- "clip_name": "qwen_2_7b_integrated.safetensors",
- "type": "qwen_image",
- "device": "default"
- },
- "class_type": "CLIPLoader",
- "_meta": {
- "title": "Load CLIP"
- }
- },
- "8": {
- "inputs": {
- "enable_temperature": true,
- "temperature": 0.4,
- "enable_top_p": false,
- "top_p": 0.9,
- "enable_top_k": false,
- "top_k": 40,
- "enable_seed": false,
- "seed": 1525375688,
- "enable_repeat_penalty": false,
- "repeat_penalty": 1.1,
- "enable_max_tokens": true,
- "max_tokens": 4096,
- "debug_mode": false
- },
- "class_type": "Z_ImageOptions",
- "_meta": {
- "title": "Z-Image Options"
- }
- },
- "9": {
- "inputs": {
- "image": "hero sam.png"
- },
- "class_type": "LoadImage",
- "_meta": {
- "title": "Load Image"
- }
- },
- "10": {
- "inputs": {
- "filename_prefix": "ComfyUI",
- "images": [
- "5",
- 0
- ]
- },
- "class_type": "SaveImage",
- "_meta": {
- "title": "Save Image"
- }
- },
- "11": {
- "inputs": {
- "vae_name": "ae.safetensors"
- },
- "class_type": "VAELoader",
- "_meta": {
- "title": "Load VAE"
- }
- },
- "13": {
- "inputs": {
- "provider": "direct",
- "model": "qwen/qwen3-235b-a22b:free",
- "api_key": "",
- "local_endpoint": "http://localhost:11434/v1",
- "llm_path": "",
- "auto_download_fallback": false,
- "quantization": "4bit",
- "device": "auto"
- },
- "class_type": "Z_ImageAPIConfig",
- "_meta": {
- "title": "Z-Image API Config"
- }
- },
- "14": {
- "inputs": {
- "ckpt_name": "z_image_edit_bf16.safetensors"
- },
- "class_type": "CheckpointLoaderSimple",
- "_meta": {
- "title": "Load Checkpoint"
- }
- },
- "16": {
- "inputs": {
- "pixels": [
- "6",
- 0
- ],
- "vae": [
- "11",
- 0
- ]
- },
- "class_type": "VAEEncode",
- "_meta": {
- "title": "VAE Encode"
- }
- },
- "17": {
- "inputs": {
- "unet_name": "z_image_bf16.safetensors",
- "weight_dtype": "default"
- },
- "class_type": "UNETLoader",
- "_meta": {
- "title": "Load Diffusion Model"
- }
- }
- }
Advertisement
Add Comment
Please, Sign In to add comment