{ "id": "6d0c5e1e-3a1b-4c0e-9d57-b1e6a4d7f001", "revision": 0, "last_node_id": 23, "last_link_id": 21, "nodes": [ { "id": 1, "type": "CLIPLoader", "pos": [ -470, 100 ], "size": [ 400, 110 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "name": "CLIP", "type": "CLIP", "links": [ 1, 2 ] } ], "title": "Text Encoder (keep type = moss_image)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "CLIPLoader" }, "widgets_values": [ "qwen3.5_9b_int8_convrot.safetensors", "moss_image", "default" ], "widgets_values_named": { "clip_name": "qwen3.5_9b_int8_convrot.safetensors", "type": "moss_image", "device": "default" } }, { "id": 2, "type": "VAELoader", "pos": [ -470, 270 ], "size": [ 400, 80 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [ { "name": "VAE", "type": "VAE", "links": [ 10, 19 ] } ], "title": "VAE", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "VAELoader" }, "widgets_values": [ "flux2-vae.safetensors" ], "widgets_values_named": { "vae_name": "flux2-vae.safetensors" } }, { "id": 3, "type": "EmptyFlux2LatentImage", "pos": [ -470, 480 ], "size": [ 400, 140 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [ { "name": "LATENT", "type": "LATENT", "links": [ 8, 17 ] } ], "title": "Image Size (width x height, multiples of 16)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "EmptyFlux2LatentImage" }, "widgets_values": [ 1024, 1024, 1 ], "widgets_values_named": { "width": 1024, "height": 1024, "batch_size": 1 } }, { "id": 4, "type": "CLIPTextEncode", "pos": [ 40, 100 ], "size": [ 560, 330 ], "flags": {}, "order": 9, "mode": 0, "inputs": [ { "name": "clip", "type": "CLIP", "link": 1 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 6, 15 ] } ], "title": "WRITE YOUR PROMPT HERE (Positive)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "CLIPTextEncode" }, "widgets_values": [ "Luxury editorial product photography of a frosted amber glass perfume bottle standing on a slab of wet black basalt stone, shot with a 100mm macro lens at f/4, shallow depth of field. A single soft strip light from the left creates a clean gradient across the glass and a long, elegant reflection on the wet surface. Tiny water droplets cling to the bottle’s shoulders, each one sharp and catching a pinpoint highlight. Fresh dewy green moss and a single white orchid petal rest at the base. The bottle label reads “MOSS NOIR” in a refined, thin gold serif typeface with slightly embossed lettering and subtle foil reflections. Smoky dark green background fading to near black, moody and premium, ultra-detailed, magazine advertisement quality." ], "widgets_values_named": { "text": "Luxury editorial product photography of a frosted amber glass perfume bottle standing on a slab of wet black basalt stone, shot with a 100mm macro lens at f/4, shallow depth of field. A single soft strip light from the left creates a clean gradient across the glass and a long, elegant reflection on the wet surface. Tiny water droplets cling to the bottle’s shoulders, each one sharp and catching a pinpoint highlight. Fresh dewy green moss and a single white orchid petal rest at the base. The bottle label reads “MOSS NOIR” in a refined, thin gold serif typeface with slightly embossed lettering and subtle foil reflections. Smoky dark green background fading to near black, moody and premium, ultra-detailed, magazine advertisement quality." }, "color": "#232", "bgcolor": "#353" }, { "id": 5, "type": "CLIPTextEncode", "pos": [ 40, 480 ], "size": [ 560, 140 ], "flags": {}, "order": 10, "mode": 0, "inputs": [ { "name": "clip", "type": "CLIP", "link": 2 } ], "outputs": [ { "name": "CONDITIONING", "type": "CONDITIONING", "links": [ 7, 16 ] } ], "title": "Negative Prompt (optional - things you do NOT want)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "CLIPTextEncode" }, "widgets_values": [ "" ], "widgets_values_named": { "text": "" }, "color": "#322", "bgcolor": "#533" }, { "id": 6, "type": "UNETLoader", "pos": [ 700, 100 ], "size": [ 440, 90 ], "flags": {}, "order": 3, "mode": 4, "inputs": [], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 3 ] } ], "title": "INT8 Model", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "UNETLoader" }, "widgets_values": [ "moss_image_sft_int8_convrot.safetensors", "default" ], "widgets_values_named": { "unet_name": "moss_image_sft_int8_convrot.safetensors", "weight_dtype": "default" } }, { "id": 7, "type": "ModelAttentionBackend", "pos": [ 700, 230 ], "size": [ 440, 60 ], "flags": {}, "order": 11, "mode": 4, "inputs": [ { "name": "model", "type": "MODEL", "link": 3 } ], "outputs": [ { "name": "model", "type": "MODEL", "links": [ 4 ] } ], "title": "Attention Backend (if this node errors: right-click > Bypass)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "ModelAttentionBackend" }, "widgets_values": [ "comfy kitchen attention" ], "widgets_values_named": { "attention": "comfy kitchen attention" } }, { "id": 8, "type": "ModelSamplingAuraFlow", "pos": [ 700, 330 ], "size": [ 440, 100 ], "flags": {}, "order": 13, "mode": 4, "inputs": [ { "name": "model", "type": "MODEL", "link": 4 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 5 ] } ], "title": "Shift = 3 (INT8)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "ModelSamplingAuraFlow" }, "widgets_values": [ 3, "flow" ], "widgets_values_named": { "shift": 3, "sampling": "flow" } }, { "id": 9, "type": "KSampler", "pos": [ 1180, 100 ], "size": [ 330, 380 ], "flags": {}, "order": 15, "mode": 4, "inputs": [ { "name": "model", "type": "MODEL", "link": 5 }, { "name": "positive", "type": "CONDITIONING", "link": 6 }, { "name": "negative", "type": "CONDITIONING", "link": 7 }, { "name": "latent_image", "type": "LATENT", "link": 8 } ], "outputs": [ { "name": "LATENT", "type": "LATENT", "links": [ 9 ] } ], "title": "KSampler - INT8 (30 steps, CFG 4, simple)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "KSampler" }, "widgets_values": [ 174422675098895, "randomize", 30, 4, "euler", "simple", 1 ], "widgets_values_named": { "seed": 174422675098895, "control_after_generate": "randomize", "steps": 30, "cfg": 4, "sampler_name": "euler", "scheduler": "simple", "denoise": 1 } }, { "id": 10, "type": "VAEDecode", "pos": [ 1180, 520 ], "size": [ 330, 50 ], "flags": {}, "order": 17, "mode": 4, "inputs": [ { "name": "samples", "type": "LATENT", "link": 9 }, { "name": "vae", "type": "VAE", "link": 10 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 11 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "VAEDecode" } }, { "id": 11, "type": "SaveImage", "pos": [ 1560, 100 ], "size": [ 460, 480 ], "flags": {}, "order": 19, "mode": 4, "inputs": [ { "name": "images", "type": "IMAGE", "link": 11 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "Result - INT8", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "SaveImage" }, "widgets_values": [ "moss-image/moss-int8" ], "widgets_values_named": { "filename_prefix": "moss-image/moss-int8" } }, { "id": 12, "type": "UNETLoader", "pos": [ 692.0973649792471, 854.1894972851624 ], "size": [ 440, 90 ], "flags": {}, "order": 4, "mode": 0, "inputs": [], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 12 ] } ], "title": "BF16 Model", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "UNETLoader" }, "widgets_values": [ "moss_image_sft_bf16.safetensors", "default" ], "widgets_values_named": { "unet_name": "moss_image_sft_bf16.safetensors", "weight_dtype": "default" } }, { "id": 13, "type": "SkipLayerGuidanceDiTSimple", "pos": [ 700.2807526233624, 1047.6972674412048 ], "size": [ 440, 140 ], "flags": {}, "order": 12, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 12 } ], "outputs": [ { "name": "MODEL", "type": "MODEL", "links": [ 21 ] } ], "title": "Uncond skips block 22 (BF16)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "SkipLayerGuidanceDiTSimple" }, "widgets_values": [ "", "22", 0, 0.5 ], "widgets_values_named": { "double_layers": "", "single_layers": "22", "start_percent": 0, "end_percent": 0.5 } }, { "id": 15, "type": "KSampler", "pos": [ 1180, 792.097364979247 ], "size": [ 363.6021484375, 380 ], "flags": {}, "order": 14, "mode": 0, "inputs": [ { "name": "model", "type": "MODEL", "link": 21 }, { "name": "positive", "type": "CONDITIONING", "link": 15 }, { "name": "negative", "type": "CONDITIONING", "link": 16 }, { "name": "latent_image", "type": "LATENT", "link": 17 } ], "outputs": [ { "name": "LATENT", "type": "LATENT", "links": [ 18 ] } ], "title": "KSampler - BF16 (50 steps, CFG 3, sgm_uniform)", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "KSampler" }, "widgets_values": [ 612239523960356, "randomize", 50, 3, "euler", "sgm_uniform", 1 ], "widgets_values_named": { "seed": 612239523960356, "control_after_generate": "randomize", "steps": 50, "cfg": 3, "sampler_name": "euler", "scheduler": "sgm_uniform", "denoise": 1 } }, { "id": 16, "type": "VAEDecode", "pos": [ 1194.6763221813974, 1201.9368342382795 ], "size": [ 330, 50 ], "flags": {}, "order": 16, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 18 }, { "name": "vae", "type": "VAE", "link": 19 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 20 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "VAEDecode" } }, { "id": 17, "type": "SaveImage", "pos": [ 1565.6447393005374, 778.549990657956 ], "size": [ 460, 480 ], "flags": {}, "order": 18, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 20 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": null } ], "title": "Result - BF16", "properties": { "cnr_id": "comfy-core", "ver": "0.42.1", "Node name for S&R": "SaveImage" }, "widgets_values": [ "moss-image/moss-bf16" ], "widgets_values_named": { "filename_prefix": "moss-image/moss-bf16" } }, { "id": 19, "type": "Note", "pos": [ -1000, 0 ], "size": [ 480, 470 ], "flags": {}, "order": 5, "mode": 0, "inputs": [], "outputs": [], "title": "MODEL FILES + CUSTOM NODE", "properties": { "Node name for S&R": "Note" }, "widgets_values": [ "STEP 0 - INSTALL (only once)\n\nCustom node (required):\nhttps://github.com/OpenMOSS/MOSS-Image\nCopy the folder \"comfyui/moss-image\" into\nComfyUI/custom_nodes/moss-image\n(or search \"MOSS-Image\" in ComfyUI Manager). Then RESTART ComfyUI.\n\nFILE LOCATIONS\n- INT8 model:\n ComfyUI/models/diffusion_models/moss_image_sft_int8_convrot.safetensors\n- BF16 model:\n ComfyUI/models/diffusion_models/moss_image_sft_bf16.safetensors\n- Text encoder:\n ComfyUI/models/text_encoders/qwen3.5_9b_int8_convrot.safetensors\n- VAE:\n ComfyUI/models/vae/flux2-vae.safetensors\n\nAfter copying files, press R in ComfyUI to refresh the lists (or restart).\n\nFile names differ? Some MOSS notes mention names like qwen35_moss_int8_convrot or moss_flux2_small_vae. Use whatever names you actually downloaded - just select them in the loader nodes. Keep the Text Encoder \"type\" set to moss_image." ], "widgets_values_named": { "text": "STEP 0 - INSTALL (only once)\n\nCustom node (required):\nhttps://github.com/OpenMOSS/MOSS-Image\nCopy the folder \"comfyui/moss-image\" into\nComfyUI/custom_nodes/moss-image\n(or search \"MOSS-Image\" in ComfyUI Manager). Then RESTART ComfyUI.\n\nFILE LOCATIONS\n- INT8 model:\n ComfyUI/models/diffusion_models/moss_image_sft_int8_convrot.safetensors\n- BF16 model:\n ComfyUI/models/diffusion_models/moss_image_sft_bf16.safetensors\n- Text encoder:\n ComfyUI/models/text_encoders/qwen3.5_9b_int8_convrot.safetensors\n- VAE:\n ComfyUI/models/vae/flux2-vae.safetensors\n\nAfter copying files, press R in ComfyUI to refresh the lists (or restart).\n\nFile names differ? Some MOSS notes mention names like qwen35_moss_int8_convrot or moss_flux2_small_vae. Use whatever names you actually downloaded - just select them in the loader nodes. Keep the Text Encoder \"type\" set to moss_image." }, "color": "#223", "bgcolor": "#335" }, { "id": 21, "type": "Note", "pos": [ 40, -380 ], "size": [ 560, 330 ], "flags": {}, "order": 6, "mode": 0, "inputs": [], "outputs": [], "title": "PROMPT TIPS", "properties": { "Node name for S&R": "Note" }, "widgets_values": [ "HOW TO WRITE A GOOD MOSS-IMAGE PROMPT\nWrite full descriptive sentences (like a short paragraph), not just tags.\n\nSuggested order:\n1. Style / camera: \"candid film photograph\", \"85mm lens, shallow depth of field\", \"anime illustration\"\n2. Subject: who/what, age, hair, skin, expression\n3. Clothes and props: describe layer by layer\n4. Pose and framing: sitting, close-up, from behind, vertical shot\n5. Background / location / time of day\n6. Lighting and mood: golden hour, overcast, flash, moody\n7. Look at the end: film grain, JPEG compression, sharp focus on eyes\n\nTEXT IN IMAGES: put exact words in \"quotes\".\nExample: a neon sign that reads \"MOSS BAR\"\n\nNegative prompt is optional. Leave it empty or add things like: blurry, deformed hands, extra fingers, watermark." ], "widgets_values_named": { "text": "HOW TO WRITE A GOOD MOSS-IMAGE PROMPT\nWrite full descriptive sentences (like a short paragraph), not just tags.\n\nSuggested order:\n1. Style / camera: \"candid film photograph\", \"85mm lens, shallow depth of field\", \"anime illustration\"\n2. Subject: who/what, age, hair, skin, expression\n3. Clothes and props: describe layer by layer\n4. Pose and framing: sitting, close-up, from behind, vertical shot\n5. Background / location / time of day\n6. Lighting and mood: golden hour, overcast, flash, moody\n7. Look at the end: film grain, JPEG compression, sharp focus on eyes\n\nTEXT IN IMAGES: put exact words in \"quotes\".\nExample: a neon sign that reads \"MOSS BAR\"\n\nNegative prompt is optional. Leave it empty or add things like: blurry, deformed hands, extra fingers, watermark." }, "color": "#223", "bgcolor": "#335" }, { "id": 22, "type": "Note", "pos": [ 33.3840771533893, 697.2357708931044 ], "size": [ 560, 250 ], "flags": {}, "order": 7, "mode": 0, "inputs": [], "outputs": [], "title": "IMAGE SIZE CHEAT SHEET", "properties": { "Node name for S&R": "Note" }, "widgets_values": [ "Set width x height in the \"Image Size\" node (left). Both must be MULTIPLES OF 16.\n\n1024 x 1024 square (recommended, default)\n1152 x 896 landscape\n896 x 1152 portrait\n1344 x 768 wide (about 16:9)\n768 x 1344 tall (phone, about 9:16)\n2208 x 1088 very wide + large: slow, needs lots of VRAM\n\nBigger size = slower + more VRAM.\nBatch size 1 = one image per run. Raise it only if you have spare VRAM." ], "widgets_values_named": { "text": "Set width x height in the \"Image Size\" node (left). Both must be MULTIPLES OF 16.\n\n1024 x 1024 square (recommended, default)\n1152 x 896 landscape\n896 x 1152 portrait\n1344 x 768 wide (about 16:9)\n768 x 1344 tall (phone, about 9:16)\n2208 x 1088 very wide + large: slow, needs lots of VRAM\n\nBigger size = slower + more VRAM.\nBatch size 1 = one image per run. Raise it only if you have spare VRAM." }, "color": "#223", "bgcolor": "#335" }, { "id": 23, "type": "Note", "pos": [ 700, -380 ], "size": [ 1320, 330 ], "flags": {}, "order": 8, "mode": 0, "inputs": [], "outputs": [], "title": "WHICH VERSION? (INT8 or BF16) + HOW TO SWITCH", "properties": { "Node name for S&R": "Note" }, "widgets_values": [ "INT8 (ON by default) BF16 (OFF by default)\nfile: moss_image_sft_int8_convrot.safetensors file: moss_image_sft_bf16.safetensors\nSmaller and faster, needs less VRAM. Good starting point. Full precision, highest quality, slower, needs much more VRAM.\n\nINT8 SETTINGS (already set in the top group): BF16 SETTINGS (already set in the bottom group):\nSteps 30 | CFG 4 | sampler euler | scheduler simple Steps 50 | CFG 3 | sampler euler | scheduler sgm_uniform\nShift 3 (ModelSamplingAuraFlow) Shift 5.0 (ModelSamplingSD3)\nAttention backend: comfy kitchen attention Uncond skip layers: single_layers = 22 (start 0, end 0.5)\n\nHOW TO SWITCH (use only ONE at a time)\n1. Click the TITLE BAR of the group you want to turn OFF, then press Ctrl+B. Its nodes turn purple = OFF.\n (Or right-click the group title > Edit Group > Set Group Nodes > Bypass.)\n2. Click the title bar of the group you want to turn ON and press Ctrl+B again (or choose Set Group Nodes > Always).\n3. Press Ctrl+Enter to generate.\n\nIMPORTANT: if you use the BF16 file, use the BF16 settings. Do not copy the INT8 settings (30 steps / CFG 4 / simple) onto the BF16 model.\nTIP: the official MOSS notes recommend the BF16-style settings (50 steps, CFG 3, sgm_uniform, shift 5, skip layer 22). If INT8 results look weak, try picking the INT8 file inside the BF16 group instead." ], "widgets_values_named": { "text": "INT8 (ON by default) BF16 (OFF by default)\nfile: moss_image_sft_int8_convrot.safetensors file: moss_image_sft_bf16.safetensors\nSmaller and faster, needs less VRAM. Good starting point. Full precision, highest quality, slower, needs much more VRAM.\n\nINT8 SETTINGS (already set in the top group): BF16 SETTINGS (already set in the bottom group):\nSteps 30 | CFG 4 | sampler euler | scheduler simple Steps 50 | CFG 3 | sampler euler | scheduler sgm_uniform\nShift 3 (ModelSamplingAuraFlow) Shift 5.0 (ModelSamplingSD3)\nAttention backend: comfy kitchen attention Uncond skip layers: single_layers = 22 (start 0, end 0.5)\n\nHOW TO SWITCH (use only ONE at a time)\n1. Click the TITLE BAR of the group you want to turn OFF, then press Ctrl+B. Its nodes turn purple = OFF.\n (Or right-click the group title > Edit Group > Set Group Nodes > Bypass.)\n2. Click the title bar of the group you want to turn ON and press Ctrl+B again (or choose Set Group Nodes > Always).\n3. Press Ctrl+Enter to generate.\n\nIMPORTANT: if you use the BF16 file, use the BF16 settings. Do not copy the INT8 settings (30 steps / CFG 4 / simple) onto the BF16 model.\nTIP: the official MOSS notes recommend the BF16-style settings (50 steps, CFG 3, sgm_uniform, shift 5, skip layer 22). If INT8 results look weak, try picking the INT8 file inside the BF16 group instead." }, "color": "#432", "bgcolor": "#653" } ], "links": [ [ 1, 1, 0, 4, 0, "CLIP" ], [ 2, 1, 0, 5, 0, "CLIP" ], [ 3, 6, 0, 7, 0, "MODEL" ], [ 4, 7, 0, 8, 0, "MODEL" ], [ 5, 8, 0, 9, 0, "MODEL" ], [ 6, 4, 0, 9, 1, "CONDITIONING" ], [ 7, 5, 0, 9, 2, "CONDITIONING" ], [ 8, 3, 0, 9, 3, "LATENT" ], [ 9, 9, 0, 10, 0, "LATENT" ], [ 10, 2, 0, 10, 1, "VAE" ], [ 11, 10, 0, 11, 0, "IMAGE" ], [ 12, 12, 0, 13, 0, "MODEL" ], [ 15, 4, 0, 15, 1, "CONDITIONING" ], [ 16, 5, 0, 15, 2, "CONDITIONING" ], [ 17, 3, 0, 15, 3, "LATENT" ], [ 18, 15, 0, 16, 0, "LATENT" ], [ 19, 2, 0, 16, 1, "VAE" ], [ 20, 16, 0, 17, 0, "IMAGE" ], [ 21, 13, 0, 15, 0, "MODEL" ] ], "groups": [ { "id": 1, "title": "1) Text Encoder + VAE (shared)", "bounding": [ -490, 20, 440, 350 ], "color": "#3f789e", "flags": {} }, { "id": 2, "title": "2) Your Image Size (shared)", "bounding": [ -490, 400, 440, 240 ], "color": "#3f789e", "flags": {} }, { "id": 3, "title": "3) Your Prompt (shared)", "bounding": [ 20, 20, 600, 630 ], "color": "#88A", "flags": {} }, { "id": 4, "title": "4A) INT8 VERSION (ON by default)", "bounding": [ 680, 20, 1360, 530 ], "color": "#8A8", "flags": {} }, { "id": 5, "title": "4B) BF16 VERSION (OFF by default - turn ON to use BF16 files)", "bounding": [ 680, 720, 1360, 530 ], "color": "#b58b2a", "flags": {} } ], "config": {}, "extra": { "ds": { "scale": 0.7320500000000059, "offset": [ 1191.2018370719813, 403.8250877031013 ] }, "frontendVersion": "1.55.18", "VHS_latentpreview": false, "VHS_latentpreviewrate": 0, "VHS_MetadataImage": true, "VHS_KeepIntermediate": true }, "version": 0.4, "seed_widgets": { "9": 0, "15": 0 } }