In this series, I will add some good and unique models to the qchan mix models.
Since I'm not so concerned with retaining the atmosphere of qchan mix series, the merged models are expected to be more flexible.
My criterion for evaluating a model is whether it can generate exciting images from random prompts.
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anime1
Models used in the merge:
ZenTypeW - V1 https://civitai.com/models/745763/zentypew
qchan anime Mix - v4.0 https://civitai.com/models/257080?modelVersionId=547819
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I usually enjoy random image creation using Web UI A1111 and "OneButtonPrompt" extension with the following conditions:
Sampler: Euler A
Steps: 40
Width x Height: 512 x 768
CFG scale: 7
Denoising strength: 0.3
Clip skip: 1
Hires upscaler: 4x-UltraSharp
Hires upscale: 2
Hires steps: 10
Denoising strength: 0.3
OneButtonPrompt strength: 10
Common prompt (prefix): 1girl
Base negative prompt: bad-hands-5, FastNegativeV2
No auto generate negative
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For negative prompts, bad-hands-5 and FastNegativeV2 seem to work with this model.
bad-hands-5 https://civitai.com/models/116230?modelVersionId=125849
FastNegativeV2 https://civitai.com/models/71961?modelVersionId=94057
qchan Variations is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user evtqtyn912. Derived from the powerful Stable Diffusion (SD 1.5) model, qchan Variations 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 qchan Variations is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, sexy, art.
With a rating of 0 and over 0 ratings, qchan Variations is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of qchan Variations from here.
To use qchan Variations, 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 qchan Variations, check out our crash course in AI image generation.
Merge of realistic1 with Asian type realistic models
Go ahead and upload yours!
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