Model reference · open weights
controlnet-union-sdxl-1.0 is an open-weight image model from xinsir, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
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 sor
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | xinsir |
|---|---|
| Type | Image models |
| Parameters (lead) | 1.3B |
| Variants | 1 |
| Runs with | diffusers |
| Released | 2024-07-07 |
| Popularity | 117k downloads / month |
| Likes | 1,816 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| controlnet-union-sdxl-1.0 | 1.3B | BF16 | ~2.9 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys controlnet-union-sdxl-1-0 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (controlnet-union-sdxl-1-0 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"controlnet-union-sdxl-1-0","prompt":"a red bicycle","size":"1024x1024"}'
Details
Tags
Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗