skirtswimming8988

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Oct 23rd, 2026
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  1. {
  2. "1": {
  3. "inputs": {
  4. "unet_name": "moss_image_sft_int8_convrot.safetensors",
  5. "weight_dtype": "default"
  6. },
  7. "class_type": "UNETLoader",
  8. "_meta": {
  9. "title": "Load Diffusion Model (MOSS-Image)"
  10. }
  11. },
  12. "2": {
  13. "inputs": {
  14. "clip_name": "qwen3.5_9b_w4a8_gptq.safetensors",
  15. "type": "moss_image"
  16. },
  17. "class_type": "CLIPLoader",
  18. "_meta": {
  19. "title": "Load CLIP / Text Encoder (Qwen3.5-9B)"
  20. }
  21. },
  22. "3": {
  23. "inputs": {
  24. "vae_name": "flux2-vae.safetensors"
  25. },
  26. "class_type": "VAELoader",
  27. "_meta": {
  28. "title": "Load VAE (FLUX.2 VAE)"
  29. }
  30. },
  31. "4": {
  32. "inputs": {
  33. "text": "Authentic raw smartphone front-camera selfie taken with 0.5x ultra-wide lens from high angle. A 23-year-old East Asian woman in an oversized grey fleece hoodie sitting cross-legged on a wooden bedroom floor eating instant noodles from a cup. Slight arm visible extending toward top corner holding the phone, wide-angle facial barrel distortion, casual messy high ponytail with loose flyaway hairs. Natural unposed mid-laugh expression, visible skin texture with subtle shine on forehead, delicate skin pores, zero makeup, warm cluttered bedroom ambient background with laundry basket and fairy lights, authentic mobile phone camera sensor noise, photorealistic.",
  34. "clip": [
  35. "2",
  36. 0
  37. ]
  38. },
  39. "class_type": "CLIPTextEncode",
  40. "_meta": {
  41. "title": "CLIP Text Encode (Positive Prompt)"
  42. }
  43. },
  44. "5": {
  45. "inputs": {
  46. "text": "nsfw, worst quality, bad anatomy, watermark, jpeg artifact, airbrushed plastic skin, professional studio lighting, DSLR bokeh, glamorous makeup, posed model, CGI, 3D render",
  47. "clip": [
  48. "2",
  49. 0
  50. ]
  51. },
  52. "class_type": "CLIPTextEncode",
  53. "_meta": {
  54. "title": "CLIP Text Encode (Negative Prompt)"
  55. }
  56. },
  57. "6": {
  58. "inputs": {
  59. "width": 768,
  60. "height": 1344,
  61. "batch_size": 1
  62. },
  63. "class_type": "EmptyFlux2LatentImage",
  64. "_meta": {
  65. "title": "Empty Flux2 Latent Image (9:16 Smartphone Vertical)"
  66. }
  67. },
  68. "31": {
  69. "inputs": {
  70. "double_layers": "",
  71. "single_layers": "22",
  72. "start_percent": 0.0,
  73. "end_percent": 1.0,
  74. "model": [
  75. "1",
  76. 0
  77. ]
  78. },
  79. "class_type": "SkipLayerGuidanceDiTSimple",
  80. "_meta": {
  81. "title": "Skip Layer Guidance (Bypass for Selfie/Flash, Enable Layer 22 for Mirror/Rain Refraction)"
  82. }
  83. },
  84. "7": {
  85. "inputs": {
  86. "seed": 2026102329,
  87. "steps": 40,
  88. "cfg": 3.0,
  89. "sampler_name": "euler",
  90. "scheduler": "simple",
  91. "denoise": 1.0,
  92. "model": [
  93. "1",
  94. 0
  95. ],
  96. "positive": [
  97. "4",
  98. 0
  99. ],
  100. "negative": [
  101. "5",
  102. 0
  103. ],
  104. "latent_image": [
  105. "6",
  106. 0
  107. ]
  108. },
  109. "class_type": "KSampler",
  110. "_meta": {
  111. "title": "KSampler (CFG: 3.0 | Steps: 40)"
  112. }
  113. },
  114. "8": {
  115. "inputs": {
  116. "samples": [
  117. "7",
  118. 0
  119. ],
  120. "vae": [
  121. "3",
  122. 0
  123. ]
  124. },
  125. "class_type": "VAEDecode",
  126. "_meta": {
  127. "title": "VAE Decode"
  128. }
  129. },
  130. "9": {
  131. "inputs": {
  132. "filename_prefix": "MOSS_Candid_Showcase",
  133. "images": [
  134. "8",
  135. 0
  136. ]
  137. },
  138. "class_type": "SaveImage",
  139. "_meta": {
  140. "title": "Save Image"
  141. }
  142. }
  143. }
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