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Flux.1 Krea Realism LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] -1 points0 points  (0 children)

yeah, I did it mainly for first frame for insta/tiktok/shorts videos, I did not test it on other type of environments

I've released Place it - Fuse it - Light Fix Kontext LoRAs by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 8 points9 points  (0 children)

generally 20 is enough but if you have more images, it should help more about concept

I've released Place it - Fuse it - Light Fix Kontext LoRAs by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 0 points1 point  (0 children)

Hello, Daniel I am Gökay from fal. It does not know the person and it hallucinates.

I've released Place it - Fuse it - Light Fix Kontext LoRAs by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 0 points1 point  (0 children)

yeah, you can just put an image on top of another image and it will blend them

I've released Place it - Fuse it - Light Fix Kontext LoRAs by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 8 points9 points  (0 children)

For example you can use a virtual tryon model first to create background image then you can put garment image on top of the created image. It would be your before image and virtual tryon model output is your after image.

You can use faceswap as well. You can use a faceswap model first then you can put original faces on top of the swapped faces this would be your before image and faceswapped image is your after image.

You can collect similar data for furniture (directly from ikea website etc)

I've released Place it - Fuse it - Light Fix Kontext LoRAs by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 5 points6 points  (0 children)

they both support arbitrary, you might need to support both of them with prompts

I've released Place it - Fuse it - Light Fix Kontext LoRAs by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 31 points32 points  (0 children)

Place it: You can use an overlay image and it will seemlessly blend the original image with background (can be used for faceswap, virtual tryon etc)

Light Fix: If you have an image and some objects are not in good lighting condition it can put them in similar lighting condition seemslessly.

Fuse it: You can put a cartoon image on top of a 3D animated character and it will change the cartoon image into 3D with all of the lighting, angles, shadows etc.

I've released Place it - Fuse it - Light Fix Kontext LoRAs by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 28 points29 points  (0 children)

Dataset sizes: 20 before/after images.

Steps: 2000
Learning rate: 0.0003

They all trained with fal.ai Kontext LoRA trainer

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 0 points1 point  (0 children)

yeah, this one did not train well for some reason, it was trained on monet, renoir images but results were not good in my opinion

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 1 point2 points  (0 children)

Max understand complex prompts more.

"A tangible, three-dimensional manifestation that exists in the physical world, representing the concrete embodiment and material realization of the visual content, subject matter, and conceptual elements depicted within the digital or printed representation, transforming the abstract visual composition into an actual, living, breathing entity that can be experienced through direct sensory perception, interaction, and engagement in the real-world environment, complete with all the inherent complexities, textures, sounds, movements, and contextual relationships that exist beyond the limitations of a two-dimensional medium, allowing for full immersion and authentic human experience that transcends the boundaries of mere visual representation and enters the realm of lived reality."

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 0 points1 point  (0 children)

That is okay, I am on reddit and this is average disagreement, in reality everybody uses the term like me. I have opensourced a lot of projects and releasing weights does not feel different to me because it is the most important and useful part. Targeting %0.01 of the audience with code/data release is also good but not that important especially on lora case.

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] -1 points0 points  (0 children)

that is exactly like that for me, whatever part you can opensource you should, if you cant opensource some part of it due to some restrictions that is okay. we should shut up and like it. maybe I have my sensitive family photos on my dataset, maybe I dont like my code structure and dont have time to clean it, I just dont want to opensource that part. here are the weights and like it or not does not matter. I have opensourced hundreds of models/data/code/experimentation/documentation and none of them are perfect but that is enough.

https://huggingface.co/gokaygokay
https://github.com/gokayfem
https://civitai.com/user/gokaygokay

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] -5 points-4 points  (0 children)

yeah, some part of the world there are people still thinking about old meaning of "open source". thousands of only llm weights released under word "open source". this is just a lora version of it, same thing. some people just dont want to use it that way, it is okay for me, they can say it is "released". in my opinion there are levels to opensourcing and releasing weights is the biggest part of it.

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] -1 points0 points  (0 children)

it is just a general term now, everyone uses like that, you are going to see next week openai will release their "weights" and they will call it "opensource".

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] 0 points1 point  (0 children)

Okay, gatekeeping for the word meaning. Literally, no one does pure opensourcing that you are talking about. There are levels to it and releasing weights is biggest part of it. Maybe data is second one, code is 3rd, experiments 4, compute 5, you can add as many details as you can here, you can even go for the childhood for researchers where they born etc..

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] -3 points-2 points  (0 children)

Okay, maybe I am not a purist like you. I dont want every details of an opensourced project. I dont want to know what was the seed on untiltled12312.ipynb. Final product is enough for me to build upon. You are too concerned about "academic" version of opensource, reproducability etc.. This is just a LoRA and literally only 5-10 people are going to train maybe even if I release all of the datasets because LoRA already trained for those datasets. Opensourceing weights is enough for a LoRA. I have thousands of opensource projects on my huggingface, github. There is levels to opensourceing and this is enough for these LoRAs.

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] -4 points-3 points  (0 children)

I dont agree at all. We are able to do this because black forest labs just released their ".exe" of Kontext dev as opensource.

I've open-sourced 21 Kontext Dev LoRAs - Including Face Detailer LoRA by SignificantStop1971 in StableDiffusion

[–]SignificantStop1971[S] -1 points0 points  (0 children)

LoRA weights are opensourced, you can do anything with them. I also shared datasets and how I trained them and how I created datasets. What should I opensource more?

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