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Its fur pattern is a giant panda's, but in orange and white: bright orange round ears, orange patches around its eyes, orange arms and legs, an orange band across its shoulders, and soft white fur everywhere else. It stands on its hind legs at a wooden easel, wearing a navy beret and a cream apron with a few paint stains. Its right paw holds a thin paintbrush touching the canvas, its left paw rests relaxed at its side. Beside the easel, a small wooden stool holds three open paint pots, orange, blue and yellow. Big shiny dark eyes, soft rounded shapes, fur made of fine soft strands. Warm afternoon sunlight comes from a tall window on camera-left, a beam of light with floating dust, shelves of paint jars behind. Medium shot at the panda's eye level, 50mm, the background softly blurred. A palette of warm orange, navy and cream." ], "widgets_values_named": { "text": "A stylized 3D animated film still of a cute chubby panda painter in a cozy artist's studio. Its fur pattern is a giant panda's, but in orange and white: bright orange round ears, orange patches around its eyes, orange arms and legs, an orange band across its shoulders, and soft white fur everywhere else. It stands on its hind legs at a wooden easel, wearing a navy beret and a cream apron with a few paint stains. Its right paw holds a thin paintbrush touching the canvas, its left paw rests relaxed at its side. Beside the easel, a small wooden stool holds three open paint pots, orange, blue and yellow. Big shiny dark eyes, soft rounded shapes, fur made of fine soft strands. Warm afternoon sunlight comes from a tall window on camera-left, a beam of light with floating dust, shelves of paint jars behind. Medium shot at the panda's eye level, 50mm, the background softly blurred. A palette of warm orange, navy and cream." }, "color": "#232", "bgcolor": "#353" }, { "id": 8, "type": "EmptySD3LatentImage", "pos": [ 400, 920 ], "size": [ 270, 106 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "localized_name": "width", "name": "width", "type": "INT", "widget": { "name": "width" }, "link": null }, { "localized_name": "height", "name": "height", "type": "INT", "widget": { "name": "height" }, "link": null }, { "localized_name": "batch_size", "name": "batch_size", "type": "INT", "widget": { "name": "batch_size" }, "link": null } ], "outputs": [ { "localized_name": "LATENT", "name": "LATENT", "type": "LATENT", "links": [ 6 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "EmptySD3LatentImage" }, "widgets_values": [ 1024, 1024, 1 ], "widgets_values_named": { "width": 832, "height": 1216, "batch_size": 1 } }, { "id": 9, "type": "KSampler", "pos": [ 860, 340 ], "size": [ 320, 262 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "localized_name": "model", "name": "model", "type": "MODEL", "link": 1 }, { "localized_name": "positive", "name": "positive", "type": "CONDITIONING", "link": 3 }, { "localized_name": "negative", "name": "negative", "type": "CONDITIONING", "link": 11 }, { "localized_name": "latent_image", "name": "latent_image", "type": "LATENT", "link": 6 }, { "localized_name": "seed", "name": "seed", "type": "INT", "widget": { "name": "seed" }, "link": null }, { "localized_name": "steps", "name": "steps", "type": "INT", "widget": { "name": "steps" }, "link": null }, { "localized_name": "cfg", "name": "cfg", "type": "FLOAT", "widget": { "name": "cfg" }, "link": null }, { "localized_name": "sampler_name", "name": "sampler_name", "type": "COMBO", "widget": { "name": "sampler_name" }, "link": null }, { "localized_name": "scheduler", "name": "scheduler", "type": "COMBO", "widget": { "name": "scheduler" }, "link": null }, { "localized_name": "denoise", "name": "denoise", "type": "FLOAT", "widget": { "name": "denoise" }, "link": null } ], "outputs": [ { "localized_name": "LATENT", "name": "LATENT", "type": "LATENT", "links": [ 7 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "KSampler" }, "widgets_values": [ 2026, "fixed", 8, 1, "res_multistep", "simple", 1 ], "widgets_values_named": { "seed": 2026, "control_after_generate": "fixed", "steps": 8, "cfg": 1, "sampler_name": "res_multistep", "scheduler": "simple", "denoise": 1 } }, { "id": 10, "type": "VAEDecode", "pos": [ 1220, 340 ], "size": [ 210, 46 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "localized_name": "samples", "name": "samples", "type": "LATENT", "link": 7 }, { "localized_name": "vae", "name": "vae", "type": "VAE", "link": 9 } ], "outputs": [ { "localized_name": "IMAGE", "name": "IMAGE", "type": "IMAGE", "links": [ 8 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "VAEDecode" } }, { "id": 11, "type": "SaveImage", "pos": [ 1220, 440 ], "size": [ 520, 600 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "localized_name": "images", "name": "images", "type": "IMAGE", "link": 8 }, { "localized_name": "filename_prefix", "name": "filename_prefix", "type": "STRING", "widget": { "name": "filename_prefix" }, "link": null } ], "outputs": [ { "localized_name": "images", "name": "images", "type": "IMAGE", "links": null } ], "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "SaveImage" }, "widgets_values": [ "Nodes Explained/KSampler" ], "widgets_values_named": { "filename_prefix": "Nodes Explained/Image Size" } }, { "id": 12, "type": "CLIPTextEncode", "pos": [ 400, 660 ], "size": [ 420, 200 ], "flags": {}, "order": 8, "mode": 0, "inputs": [ { "localized_name": "clip", "name": "clip", "type": "CLIP", "link": 10 }, { "localized_name": "text", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": null } ], "outputs": [ { "localized_name": "CONDITIONING", "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 11 ] } ], "title": "CLIP Text Encode (Negative Prompt)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.3", "Node name for S&R": "CLIPTextEncode" }, "widgets_values": [ "blurry, ugly, bad hands, low quality" ], "widgets_values_named": { "text": "blurry, ugly, bad hands, low quality" }, "color": "#322", "bgcolor": "#533" }, { "id": 1, "type": "MarkdownNote", "pos": [ -470, -10 ], "size": [ 430, 268 ], "flags": {}, "order": 9, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "## ComfyUI Nodes Explained: KSampler\n\n**Finished workflow** = the answer to the Practice tasks: the **Z-Image Turbo recipe** on the **KSampler** (8 steps, cfg 1, res_multistep, simple, denoise 1). Press **Run** to generate the orange panda painter.\n\nThe video and the Practice workflow:\nhttps://workflows.pixaroma.com/comfyui-nodes-explained/4/\n\n**The 3 model files (Z-Image Turbo, free, the same files as in Videos 1, 2 and 3):**\n\n- [z_image_turbo_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_int8_convrot.safetensors) (6.2 GB)\n goes in **ComfyUI/models/diffusion_models/z-image**\n- [qwen_3_4b_fp8_mixed.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b_fp8_mixed.safetensors) (5.6 GB)\n goes in **ComfyUI/models/text_encoders**\n- [ae.safetensors](https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors) (0.3 GB)\n goes in **ComfyUI/models/vae**\n\nAfter you add files while ComfyUI is open, click an empty spot on the canvas and press **R**, so the lists refresh." ], "color": "#432", "bgcolor": "#653" }, { "id": 2, "type": "MarkdownNote", "pos": [ -470, 328 ], "size": [ 430, 300 ], "flags": {}, "order": 10, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "### How the KSampler works\n\nThe **KSampler** is the **painter**: it starts from random noise and removes a little of it at every **step**, until your image appears.\n\n**seed** = the number that makes the starting noise. Same seed + same settings = the same image. **control after generate** changes the number **after** each Run (randomize, increment, decrement), **fixed** keeps it.\n\n**steps** = how many passes. Use the model's number: Z-Image Turbo **8**, the full Z-Image **25**. On my card, 30 steps on Turbo took about 3x longer than 8 and did not look better.\n\n**cfg** = how closely it follows the prompt. **cfg 1** skips the negative prompt and runs almost **2x faster**. Turbo is made for **1** (flat and harsh at 3); the full Z-Image uses **4** (dark and burned at 12).\n\n**sampler** + **scheduler** = how each step works. Use the recipe's: **res_multistep** + **simple** for Z-Image. **karras** left the full Z-Image blurry.\n\n**denoise** = how much is made new. Keep **1** with an empty latent (lower = a grey, muddy image)." ], "color": "#232", "bgcolor": "#353", "title": "What you learned" } ], "links": [ [ 1, 3, 0, 9, 0, "MODEL" ], [ 2, 4, 0, 6, 0, "CLIP" ], [ 3, 6, 0, 9, 1, "CONDITIONING" ], [ 6, 8, 0, 9, 3, "LATENT" ], [ 7, 9, 0, 10, 0, "LATENT" ], [ 8, 10, 0, 11, 0, "IMAGE" ], [ 9, 5, 0, 10, 1, "VAE" ], [ 10, 4, 0, 12, 0, "CLIP" ], [ 11, 12, 0, 9, 2, "CONDITIONING" ] ], "groups": [], "config": {}, "extra": { "ds": { "scale": 0.55, "offset": [ 560, 80 ] } }, "version": 0.4 }