满足新手和艺术家的各种创意需求 RunDiffusion FX 2.5D AI绘图模型展示，带AI绘画提示

RunDiffusion FX 型号系列是图像生成领域的游戏规则改变者。平衡简单性和功能性，此模型将您的简短提示转换为多样化、富有想象力的图像。它的多功能性迎合了从新手爱好者到经验丰富的艺术家的各种创意需求。最重要的是，产生惊人输出的能力使其真正与众不同。

使用RunDiffusion FX 2.5D在Stable Diffusion制作的绘图作品，我会给出Stable Diffusion提示指令，各位可以自己尝试微调不同人物场景，请在社区分享您的作品，我会继续改进。喜欢请给我一个赞，谢谢！

图片[1]_满足新手和艺术家的各种创意需求 RunDiffusion FX 2.5D AI绘图模型展示，带AI绘画提示_Qpipi

图片[2]_满足新手和艺术家的各种创意需求 RunDiffusion FX 2.5D AI绘图模型展示，带AI绘画提示_Qpipi

图片[7]_满足新手和艺术家的各种创意需求 RunDiffusion FX 2.5D AI绘图模型展示，带AI绘画提示_Qpipi

nijistyle,rfktr_technotrex,cyberpunk (sorceress:1.2) casting spells wearing armor, robes, cape, blend fantasy and science fiction together, techno-mancer inspired by D&D, Shadowrun, forgotten realms, wizards of the sword coast, fantasy flight,<lora:NijiExpressV2:0.3> fcPortrait <lora:sxz-niji-v2(1):0.6> <lyco:EnvySorceress:0.7> <lora:circrex:0.4>
Negative prompt: ng_deepnegative_v1_75t bad_prompt_version2-neg,NSFW,deformed,large breasts,missing limbs,amputated,pants,shorts,cat ears,bad anatomy, naked, no clothes,disfigured, poorly drawn face, mutation, mutated,ugly, disgusting, blurry, watermark, watermarked, oversaturated, obese, doubled face,b&w, black and white, sepia, nude, frekles, no masks,duplicate image, blur, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, monochrome, grayscale, bad anatomy,(fat:1.2),facing away, looking away,tilted head,lowres,bad anatomy,bad hands, text, error, missing fingers,extra digit, fewer digits, cropped, worstquality, low quality, normal quality,jpegartifacts,signature, watermark, username,blurry,bad feet,cropped,worst quality,low quality,normal quality,jpeg artifacts,signature,watermark,
Size: 1088x1920, Seed: 2467775284, Model: rundiffusionFX25D_v10, model: control_v11f1e_sd15_tile [a371b31b], Steps: 50, weight: 1, Version: v1.3.0, circrex: f82d01bf6d48", Sampler: Euler, CFG scale: 7.5, Clip skip: 2, {"Method": "MultiDiffusion", "NoiseInv": true, "Upscaler": "4x-UltraSharp", Model hash: 073447953e, resize mode: Just Resize, control mode: ControlNet is more important, "preprocessor: tile_resample, pixel perfect: True, "NijiExpressV2: f7f33e287cc6, "Tile Overlap": 96, sxz-niji-v2(1): 46a823837b2f, starting/ending: (0, 1), "NoiseInv Steps": 2, "Upscale factor": 1, "Keep input size": true, "Tile batch size": 8, "Tile tile width": 112, "NoiseInv Retouch": 1, "Tile tile height": 192, Denoising strength: 0.4, preprocessor params: (512, 1, 64)", "NoiseInv Kernel size": 64}, Tiled Diffusion upscaler: 4x-UltraSharp, "NoiseInv Renoise strength": 0.6, Tiled Diffusion scale factor: 1

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