let's compare: these are renders with exactly the same prompts, seeds and all parameters, only lora is different. lora models were also trained on the same seeds and the same parameters, but for the first image lora is used, where in the dataset were captions, and for the second were only images (the images themselves are exactly the same as in the first dataset).
and here is another example. remember that the dataset was photos of Coop Himmelb(l)au projects. a conclusion can be that if a dataset with captions was used, elements of real buildings from the company's portfolio are literally borrowed. this can of course be leveled out by reducing the weight of lora when rendering or mixing it with other lora models. if there are no captions, then the general architectural style remains, but without precisely following the details. both can be needed in different situations.
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Can Chat GPT be used to change information in a Revit model? Check out this video that Anatoly Razinkov prepared for our upcoming workshop on integrating AI into BIM.
This workshop will be in Russian, but if you are interested in the English version, leave a comment
This workshop will be in Russian, but if you are interested in the English version, leave a comment
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Let's talk about LORA training based on the Schnell model. in general, it's kind of impossible to do this because the model itself is not suitable for this task, but the developers from Ostris have prepared a special adapter that solves the problem. in the Google Colab code you need to additionally write a link to the model and the adapter, as well as replace the parameters for the test rendering. i've already done it, here's the link.
#comfyui #lora #flux
#comfyui #lora #flux
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I trained on the same dataset and with the same parameter variations as when using Dev model. in general, of course, the renders are a bit simpler, but Schnell, and everything you produced with it, can be used freely for commercial purposes. in addition, this model is noticeably less demanding on computer resources
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The last thing I'd like to tell you about training LORA for Flux is an attempt to train something on top of a very curious model called OpenFLUX.1. The idea behind this model is that it is a fine-tuned version of Schnell, reconfigured to produce Flux Dev quality. Technically it's possible to train LORA on top of this model, but I wouldn't say I've been able to find good parameters. Here's the Colab that I've configured, if you experiment with it, please let me know what you find.
#comfyui #lora #flux
#comfyui #lora #flux
#comfyui made an app that is simply installed on your computer, goodbye complicated instructions. for now they email it to those who signed up for the beta test, but probably soon you will be able to download it on the website. if you have an old installation, you can automatically connected models from it, but not custom nodes (coming soon), so you will have to install them separately. in my tests it works well except closing process, which I always need to end through the task manager. and it's not just for windows, for mac as well
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Notion with description and links to comfyui desktop installers:
https://comfyorg.notion.site/ComfyUI-Desktop-User-Guide-1146d73d365080a49058e8d629772f0a
https://comfyorg.notion.site/ComfyUI-Desktop-User-Guide-1146d73d365080a49058e8d629772f0a
comfyorg on Notion
ComfyUI V1 User Guide | Notion
Set-up Instructions (Windows)
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Tomorrow we (Stepan from SA lab and I) are running a short one-day workshop on the Design Morphine platform, and you still have time to sign up. it will be primarily for those who are just starting to dive into the topic of AI, i.e. the level of complexity is assumed to be basic. The workshop will be in English, here is the link:
https://designmorphine.com/education/cellular-diffusions-v1-0
#comfyui #education
https://designmorphine.com/education/cellular-diffusions-v1-0
#comfyui #education
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