Generate with strictly following and using exact detailing in image prompt

生成金属机械感的生物，前面提示词不变，只修改最后一个单词octopus（中文译文：章鱼）为其他生物即可。

This workflow is the foundation for generating images through ComfyUI using either the AnimagineXL V3.1 or the AnimagineXL V3.0 model. This workflow includes notes on recommended resolutions and tag ordering required to generate images with the AnimagineXL models

使用ComfyUI复现WebUI生图质量。由于ComfyUI的底层原理与WebUI的不同，因此在ComfyUI直接套用WebUI的提示词生成的图片可能质量不太好，但可以通过修改三个参数使其复现WebUI生图质量。以效率节点为例子：1、weight_interpretation（权重插值方式）：comfy改为A11112、rng_source（噪声随机生成来源）：cpu改为gpu3、token_normalization（token规格化）：none改为mean

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.

内附详细说明的纸艺风格艺术字工作流，上传白底黑字的图片，即可生成高质量的艺术字。工作流每个环节都有说明，同时设置超分模块，默认为普通出图，可根据需要连接即可切换。

该工作流可以生成像素风格的游戏场景通用提示词：像素艺术，风景，森林【可以尝试更多不同提示词元素生成更多不同的场景内容】采样器参数推荐steps 28sampler_name dpmpp_sdescheduler sgm_uniformsteps 35sampler_name dpmpp_sdescheduler sgm_uniformsteps 28sampler_name dpmpp_sdescheduler normal【可自行更换其他采样器与各个参数体验更多内容】