viewer-mix_v1.7 AI Model

This model was originally uploaded to HuggingFace / Civitai. If it's yours, please contact us so we can transfer it to your account!

v1.7

该模型的制作借鉴了AOM3的合并方法。

并同步更新了针对此版本的负面嵌入，veryBadImageNegative_v1.3。

The production of this model draws on the merging method of AOM3.

And synchronously updated negative embeddings for this version,veryBadImageNegative_v1.3.

v1.3

改动：

1、将vae文件烘焙进去了。

2、调整了原料的比例重新进行混合，优化了色调和氛围，使其看起来整体光影效果更具戏剧性。

3、训练了一个名为veryBadImageNegative的负面嵌入，所有的例子均使用了这个负面嵌入。

Changes:

1. Baked the vae file.

2. After adjusting the weight, re-mixing is performed to optimize the tone and atmosphere, making the overall light and shadow effect more dramatic.

3. A negative embedding called veryBadImageNegative is trained, and all examples use this negative embedding.

v1.0

该模型可以生成高质量的动漫风格壁纸、动漫风格角色、自然风景插图。

推荐使用pastel-waifu-diffusion.vae.pt，所有例子都是使用这个vae生成的。

this model can generate high-quality anime style wallpaper, anime style characters, and natural scenery illustrations.

pastel-waifu-diffusion.vae.pt is recommended, all examples are generated using this vae.

What is viewer-mix_v1.7?

viewer-mix_v1.7 is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user yunleme. Derived from the powerful Stable Diffusion (SD 1.5) model, viewer-mix_v1.7 has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that viewer-mix_v1.7 is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, landscapes, girl.

With a rating of 4.95 and over 20 ratings, viewer-mix_v1.7 is a popular choice among users for generating high-quality images from text prompts.

Can I download viewer-mix_v1.7?

Yes! You can download the latest version of viewer-mix_v1.7 from here.

How to use viewer-mix_v1.7?

To use viewer-mix_v1.7, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like viewer-mix_v1.7, check out our crash course in AI image generation.

Download (1.94 GB) Download available on desktop only

You'll need to use a program like A1111 to run this – learn how in our crash course