Stable Diffusion prompt: intricate detailed anime

针对Animagine XL V3.1 Lora训练活动而推出的一个简易的Lora批量测试工作流，请在load Lora节点处替换待测试Lora，并调整提示词（绿色节点为正向提示词，红色节点为负向提示词）、出图大小及数量（可在Empty Latent Image节点调整）等相关参数，有相关问题可在评论区提出

本工作流是SVD的基础模板，主要面向新手朋友。SVD是Stable Diffusion官方发布的生成式视频模型Stable Video Diffusion。只需上传一张图片，调整参数，即可生成一段几秒钟的视频。在本工作流中，上传任意尺寸图片，可生成3秒钟的长边为768像素的MP4视频，消耗约40点算力。参数讲解：基础参数（一般不用改）：Width: 生成视频的宽度；Height: 生成视频的高度；尺寸最好与上传的图片一致，建议在1500以内，为了节省算力，本工作流通过缩放图片，控制在768以内。Video frames: 生成的运动总帧数，建议最大选择25帧FPS: 视频每秒刷新多少张图像，6或者8运动参数（重点修改调试）：CFG: 越接近1，初始图像对画面的控制能力也就越小，建议3左右Motion bucketid: 数值越大运动幅度越大，建议100以内，不超过200Augmentation level: 添加到图像的噪声量，数值越大变化越大，建议0.1以内，不超过0.5CFG、Motion bucketid、Augmentation level要根据实际情况动态调整。

Introducing the All-Purpose Character Generator: the ultimate tool for easy character creation using your preferred LoRas. Designed to work seamlessly with any model, this efficient workflow simplifies the process of selecting models and configuring LoRas. Dive into your imagination and breathe life into characters effortlessly. Note: This workflow works best with anime-style art. But realistic images works great as well. Version: 0.3 Update for v0.3: - Added img2img capabilities - Also added openpose for the img2img if you wish to keep the pose of the input image same in the output image Update for v0.2: - Fixed the issue that was causing vertical artifacts, which was due to an issue with the negative prompt

The Anytest ControlNet seems to be some kind of combination of ControlNet models, but no one knows which ones or how it works exactly, but is definitely the best model.It is very good at keeping the pose, proportions and of the input image, while changing style and details. No preprocessing needed.Use a strength of 0.50-0.60 if you are using sketches or non anime pics, of 0.70-0.80 for anime pics or keeping the original style.Img2img is possible, but may require some tweaking.

产生透明花语机械风格的盲盒人偶，更改提示词中关于花的描述green and white gradients jasmine，（中文译文：绿色和白色浅变茉莉），就可以替换颜色和花朵。

通过更改正向提示词和融合提示词可以更改效果