File size: 9,857 Bytes
f3a08e4 2ceb93e d9d45f8 f3a08e4 7ff3964 f3a08e4 ed19e55 f3a08e4 ed19e55 f3a08e4 7bd192a 801a4a3 60ccbb0 7bd192a f3a08e4 c378cd0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 |
---
license: apache-2.0
tags:
- Text-to-Image
- ControlNet
- Diffusers
- Stable Diffusion
pipeline_tag: text-to-image
---
# **ControlNet++: All-in-one ControlNet for image generations and editing!**
## **ProMax Model has released!! 12 control + 5 advanced editing, just try it!!!**
## Network Arichitecture
## Advantages about the model
- Use bucket training like novelai, can generate high resolutions images of any aspect ratio
- Use large amount of high quality data(over 10000000 images), the dataset covers a diversity of situation
- Use re-captioned prompt like DALLE.3, use CogVLM to generate detailed description, good prompt following ability
- Use many useful tricks during training. Including but not limited to date augmentation, mutiple loss, multi resolution
- Use almost the same parameter compared with original ControlNet. No obvious increase in network parameter or computation.
- Support 10+ control conditions, no obvious performance drop on any single condition compared with training independently
- Support multi condition generation, condition fusion is learned during training. No need to set hyperparameter or design prompts.
- Compatible with other opensource SDXL models, such as BluePencilXL, CounterfeitXL. Compatible with other Lora models.
***We design a new architecture that can support 10+ control types in condition text-to-image generation and can generate high resolution images visually comparable with
midjourney***. The network is based on the original ControlNet architecture, we propose two new modules to: 1 Extend the original ControlNet to support different image
conditions using the same network parameter. 2 Support multiple conditions input without increasing computation offload, which is especially important for designers
who want to edit image in detail, different conditions use the same condition encoder, without adding extra computations or parameters. We do thoroughly experiments
on SDXL and achieve superior performance both in control ability and aesthetic score. We release the method and the model to the open source community to make everyone
can enjoy it.
Inference scripts and more details can found: https://github.com/xinsir6/ControlNetPlus/tree/main
**If you find it useful, please give me a star, thank you very much**
**SDXL ProMax version has been released!!!，Enjoy it!!!**
**I am sorry that because of the project's revenue and expenditure are difficult to balance, the GPU resources are assigned to other projects that are more likely to be profitable, the SD3 trainging is stopped until I find enough GPU supprt, I will try my best to find GPUs to continue training. If this brings you inconvenience, I sincerely apologize for that. I want to thank everyone who likes this project, your support is what keeps me going**
Note: we put the promax model with a promax suffix in the same [huggingface model repo](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0), detailed instructions will be added later.
## Advanced editing features in Promax Model
### Tile Deblur
### Tile variation
### Tile Super Resolution
Following example show from 1M resolution --> 9M resolution
<div style="display: flex; justify-content: space-between;">
<img src="./images/tile_super1.webp" alt="Image 1" style="width: 49%; margin: 1%;">
<img src="./images/tile_super1_9upscale.webp" alt="Image 2" style="width: 49%; margin: 1%;">
</div>
<div style="display: flex; justify-content: space-between;">
<img src="./images/tile_super2.webp" alt="Image 1" style="width: 49%; margin: 1%;">
<img src="./images/tile_super2_9upscale.webp" alt="Image 2" style="width: 49%; margin: 1%;">
</div>
### Image Inpainting
### Image Outpainting
## Visual Examples
### Openpose
### Depth
### Canny
### Lineart
### AnimeLineart
### Mlsd
### Scribble
### Hed
### Pidi(Softedge)
### Teed
### Segment
### Normal
## Multi Control Visual Examples
### Openpose + Canny
### Openpose + Depth
### Openpose + Scribble
### Openpose + Normal
### Openpose + Segment
 |