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Ai-tensa/
CN_test

Name: CN_test
Availability: InStock

stable-diffusion

text-to-image

creativeml-openrail-m

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ControlNet test

This model is an experimental CN model. It aims to paint the finish coat from the primer coat. It seems that setting Control mode to "ControlNet is more important" and doing i2i based on the primed image gives relatively good results.

Model Description

base model	annotator	images	epochs	batch size	precision
Flex Waifu Rainbow	DanbooRegion	6k	10	8	fp16

The model was trained from Flex Waifu Rainbow with ~6k images paired with images segmented by DanbooRegion. The training images are from various authors and models published on the Internet with AI illustration tags.

License

This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:

You can't use the model to deliberately produce nor share illegal or harmful outputs or content
The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here

Acknowledgements

These Models build on the excellent works: SD1.4, developed by CompVis Researchers, ControlNet and DanbooRegion by Lvmin Zhang, et.al., and WD1.3, developed by Anthony Mercurio, Salt, and Cafe.

Example (Flex Waifu Rainbow with CN)

Input

Output

parameters (i2i without prompt)

Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 387124715, Size: 1152x1152, Model hash: 3f709dac23, Model: FlexWaifu_FlexWaifuRainbow, Denoising strength: 0.6, Version: v1.2.1, ControlNet 0: "preprocessor: none, model: control_fwr_color_test_fp16 [c6536a9b], weight: 1, starting/ending: (0, 1), resize mode: Crop and Resize, pixel perfect: False, control mode: ControlNet is more important, preprocessor params: (64, 64, 64)"

Ai-tensa/CN_test