Important notice: This model was designed for Text2Image. I do not know how well it works for video generation.
Latest page update: Released model.
My recommended local WAN2.1 Text2Image ComfyUI workflow for maximum quality:
Trigger (must include in prompt): oil painting in op artstyle
Please note that the online generator will NOT give you as good results as running the model locally in ComfyUI, because the online generator does not have the recommended sampler and scheduler and other customization options provided by my recommended local ComfyUI workflow!
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Latest version notes:
Initial release, no further updates planned for now
LoRa description:
This LoRa model was designed to generate images that look similar to generic 19th century realistic oil paintings of various artists.
Disclaimer:
I do not claim to be the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that my models, including this one, aim to emulate nor the training data used to train this model. I do not claim that any of my models have received an endorsement by those respective individuals. I also do not claim that the emulation attempted by my models represents a 100% accurate depiction of the original concept in question nor do I claim that the quality of my emulation reaches the same quality of the original concept. All credit goes to the respective current owners, original creators, or people and I encourage you to support them in any way you can.
If you are the current owner, original creator of, person or legal representative of a person depicted in, any of the concepts that any of my models aims to emulate and would like that specific model to be removed, then please leave me a private message here or on Reddit with proof of authenticity of your identity and claim and I will remove it.
Additionally, I do not endorse my models being used to violate the law or enact still legal, but immoral acts such as the spread of misinformation using deep fakes.
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FAQ
Comments (9)
Nice!
Okay, I've obviously missed something...when did WAN become such an impressive image model? O.O
It could always do that. Just set frame length to 1.
I think people are just learning that models trained on motion have a better understanding of the anatomy and the physicality of the world than models trained on images only.
@zixaphir what i see looks good =) I'm curious to see how this all develops. Let's hope it doesn't end up in the next closed-source model that can only be used online.
Wan has more points of reference since it is trained on video. Superior accuracy across the board, like fingers eyes for example are easy to get right most times with ease if your settings are not hampering the model's expression. We need more t2v style LoRAs to take advantage of this. Spread the word. :) Also you can increase the detail lighting if you let it run with more frames. We do need a still frame or time freeze LoRA to take advantage of WAN when it is running to full expression. 1 frame is still great though.
This morning I woke up thinking I should try using WAN for txt2img generation. Luckily, I came across your workflow, and it works perfectly! This opens up so many possibilities. WAN seems to be the only model that can render a anime school corridor accurately — even Flux Kontext does worse. Background generation has always been a weak spot, but this seems to have almost solved that problem.
Do you think it's possible to add img2img or something like ControlNet to WAN? I think I'll try this with VACE as well.
I'd also be interested to know how you train such style LoRAs, and whether it requires a lot of computing power.
Thanks for the workflow—it's really producing high-quality images with these samplers.
Has issues generating at high resolutions using 14b T2V (FusionX Q8 GGUF). 1168x896 resolution results in the first few frames shifting/flashing contrast. Tested another lora (Realism Boost) with no such issue. Was this trained on 480p or 720p?
I trained it on a 720p resolution. If you are using this for video I dont know how well it works for that. As I wrote as the very first line in my model description, I trained this for text2image first. I dont know how well it works for video. I tested it exactly once with a basic text2video workflow and it worked fine, but thats it.
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Same model published on other platforms. May have additional downloads or version variants.