(Updated 02/17) New research: ControlNet - Adding Conditional Control to Text-to-Image Diffusion Models #7732
Replies: 13 comments 11 replies
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This needs to be given more attention as I personally believe this can supercharge the webui. Here are some more examples of what a lot of people may be interested in as well. Also, the depth to image model apparently better than SD 2.0's as the mask part is trained at a higher resolution.
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I tested it and it's amazing! Each tool is very powerful and produces results that are faithful to the input image and pose. In particular, pose2image was able to capture poses much better and create accurate images compared to depth models.
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i tried to test it, but got OOM error, I guess 6 gigs isn't enough vram, maybe if its an extension, it'll be optimized by auto's optimizations? |
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It definitely consumes a lot of Vram. 16gb or more is required. Optimization seems necessary. |
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Low VRAM Mode has been updated. |
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unfortunately, it's not enough for 6 gigs yet. tried and got an OOM again |
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looks great |
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And merging with other models is also possible! |
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I need this, popular or not! |
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Got it working in the WebUI. Will post another thread about it momentarily. |
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Just PoC, I wrote a simple extension that takes ControlNet into WebUI. Not all features are supported, but at least it works. |
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thanks to @Mikubill ❤ now openpose ControlNet with colab 🥳 I will add others |
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Pose2Image works just by putting in an image that looks similar to open pose. If I set the preprocessor to None and use a reasonably similar looking image created in blender, it works fine. I used Mikubill's extension. |
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@toyxyz This may be of interest to you if you haven't seen it, the openpose model can support hands. Maybe it's worth adding to the rig? Mikubill/sd-webui-controlnet#25 |
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I tested openpose_hand a while ago, but it doesn't seem to work yet. There may be something I'm missing. |
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Ouch @ the hands! Thanks for sharing the blend! |
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Did you prompt the camera angle in that 4th example? |
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Yes. Adding the camera angle to the prompt helped the image creation a bit more. |
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this thing is just revolutionary just released my tutorial for controlnet based on an extension 16.) Automatic1111 Web UI |
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Two similar papers have now come out shortly after ControlNet did. https://github.com/arpitbansal297/Universal-Guided-Diffusion (https://arxiv.org/abs/2302.07121) Edit: T2I-Adapter integration has now been merged with the ControlNet extension. Mikubill/sd-webui-controlnet#140 |
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ControlNet - Adding Conditional Control to Text-to-Image Diffusion Models
Paper: https://arxiv.org/abs/2302.05543
GitHub: https://github.com/lllyasviel/ControlNet
From the abstract, this provides a way to train for task-specific conditions with even small datasets (<50k) and as fast as fine-tuning diffusion models locally (one of the examples presented shows a depth model that only took a week of training on a single 3090TI).
Several pre-trained models are provided, and training code is included in the GitHub repo to make your own. Highly recommend taking a look at the paper to understand what it's capable of.
Update
This is now supported in the webui via the extensions below (independent of each other):
https://github.com/Mikubill/sd-webui-controlnet
https://github.com/ThereforeGames/unprompted
A kind user also shared a Blender project to create openpose-like images, so you can skip the preprocessor step for the openpose controlnet. https://toyxyz.gumroad.com/l/ciojz
Update 2
T2I-Adapter integration has now been merged with the ControlNet extension. Mikubill/sd-webui-controlnet#140
Related, Style2Paints V5 preview (using a currently unreleased sketch-to-illustration model, based on the same research): https://github.com/lllyasviel/style2paints/tree/master/V5_preview
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