Thanks for your attention.

contact me if you want, discord with "ttplanet", Civitai with "ttplanet"

you can also join the group discussion with QQ group number: 294060503

update for rank256 version, please notice it will save the VRAM, but it will decrease the Quality!!!

please refer to the following pic to decide which version you will use:

the logo of Farai, V2>V1>rank256

the material of carbon fiber. V2=V1>rank256

update Preprocessor for comfyui

you can find it here：https://civitai.com/models/426501/60sec-process-for-4k-resolution-t2i-with-rtx4090-and-tile-model

in the workflow package

Latest Update 2024/4/13:

Here's a refined version of the update notes for the Tile V2:

-Introducing the new Tile V2, enhanced with a vastly improved training dataset and more extensive training steps.

-The Tile V2 now automatically recognizes a wider range of objects without needing explicit prompts.

-Strong text reorganization, can keep the most clear text with style transfer process.

-I've made significant improvements to the color offset issue. if you are still seeing the significant offset, it's normal, just adding the prompt or use a color fix node.

-The control strength is more robust, allowing it to replace canny+openpose in some conditions.

If you encounter the edge halo issue with t2i or i2i, particularly with i2i, ensure that the preprocessing provides the controlnet image with sufficient blurring. If the output is too sharp, it may result in a 'halo'—a pronounced shape around the edges with high contrast. In such cases, apply some blur before sending it to the controlnet. If the output is too blurry, this could be due to excessive blurring during preprocessing, or the original picture may be too small.

Enjoy the enhanced capabilities of Tile V2!

This is a SDXL based controlnet Tile model, trained with huggingface diffusers sets, fit for Stable diffusion SDXL controlnet.

1. It is original trained for my own realistic model used for Ultimate upscale process to boost the picture details. with a proper workflow, it can provide a good result for high detailed, high resolution image fix.

2. As there is no SDXL Tile available from the most open source, I decide to share this one out.

update for style change application instruction and upscale simple work flow:

update the style change workflow for comfyui:

https://openart.ai/workflows/gJQkI6ttORrWCPAiTaVO

Part1 for style and background change application:

1. Open a A1111 webui.

2. select a image you want to use for controlnet tile

3. remember the setting is like this, make 100% preprocessor is none. and control mode is My prompt is more important.

   :

4. type in the prompts in positive and negative text box, gen the image as you wish. if you want to change the cloth, type like a woman dressed in yellow T-shirt, and change the background like in a shopping mall,

5. Hires fix is supported!!!

You will get the result as below:

Part2 for ultimate sd upscale application

Here is the simplified workflow just for ultimate upscale, you can modify and add pre process for your image based on the real condition. In my case, I usually make a image to image with 0.1 denoise rate for the real low quality image such as 600*400 to 1200*800 before I through it into this ultimate upscale process.

Please add IPA process if you need the face likes identical, please also add IPA in the raw pre process for low quality image i2i. Remember, over resolution than downscale is always the best way to boost the quality from low resolution image.

https://civitai.com/models/333060/simplified-workflow-for-ultimate-sd-upscale

This is a SDXL based controlnet Tile model, trained with huggingface diffusers sets, fit for Stable diffusion SDXL controlnet.

1. It is original trained for my own realistic model used for Ultimate upscale process to boost the picture details. with a proper workflow, it can provide a good result for high detailed, high resolution image fix.

2. As there is no SDXL Tile available from the most open source, I decide to share this one out.

• Developed by: TTPlanet

• Model type: Controlnet Tile

• Language(s) (NLP): No language limitation

Uses

• Important: Tile model is not a upscale model!!! it enhance or change the detail of the original size image, remember this before you use it!

• This model will not significant change the base model style. it only adding the features to the upscaled pixel blocks....

• --Just use a regular controlnet model in Webui by select as tile model and use tile_resample for Ultimate Upscale script.

• --Just use load controlnet model in comfyui and apply to control net condition.

• --if you try to use it in webui t2i, need proper prompt setup, otherwise it will significant modify the original image color. I don't know the reason, as I don't really use this function.

• --it do perform much better with the image from the datasets. However, everything works fine for the i2i model and what is the place usually the ultimate upscale is applied!!

• --Please also notice this is a realistic training set, so no comic, animation application are promised.

• --For tile upscale, set the denoise around 0.3-0.4 to get good result.

• --For controlnet strength, set to 0.9 will be better choice

• --For human image fix, IPA and early stop on controlnet will provide better reslut

• --Pickup a good realistic base model is important!

• blurry recovery:

• 

• cloth change but keep the pose and person:

  

• Besides the basic function, Tile can also change the picture style based on you model, please select the preprocessor as None(not resample!!!!) you can build different style from one single picture with great control!

  

Bias, Risks, and Limitations

• No commercial USE!!!! Do not use it for adult content

Recommendations

• Use comfyui to build your own Upscale process, it works fine!!!

• Special thanks to the Controlnet builder lllyasviel Lvmin Zhang (Lyumin Zhang) who bring so much fun to us, and thanks huggingface make the training set to make the training so smooth.

Model Card Contact

contact me if you want, discord with "ttplanet", Civitai with "ttplanet"