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I tried and upload 30 IMG but after the some processing. It showing “Upload widget is only available when the cell has been executed in the current browser session. Please rerun this cell to enable.“ Pls help me 🥺😭

This is a great tutorial. As I am new to this, I was wondering if trained model could also be used to transfer style. So, for instance, can I train the model in my own art style, then take a picture (e.g. a photo of a face) and prompt the model to create a new image of the face in my art style?

May todays weakness be tomorrows strength my boi🙏🏼

Please drink water.

Im getting the error: MessageError: Error: credential propagation was unsuccessful

the most clear demo i ever see

best video ever! Easy to follow

Have u tried to train with several styles? I've trying to train with one style, upload the model to huggingface, train this model again, so on. The problem is in the 5 o 6 train the first style start to fail.

is this model works as a image to image? hope i get your replay or a link of work if possible

This was a great video and the Colab workflow was very easy to follow. I wanted to create a model based on my own art style. This notebook worked perfectly up to the very end. I was able to generate the sample images and also generate images using my own prompt but after checking my Drive folder the checkpoint was never saved to the AI_PICS/models folder. All permissions were given to Colab regarding access to my Drive account. So I used my other google account that has 14gb of available space, built another model and again the tensorsafe file did not appear in Drive folder. Has anyone else experienced this problem?

Thank you for the video. I have a question. I cannot find file "model.ckpt" in my google drive. I've check several time all my google drive. Where can it be?

I keep getting an error that says" ModuleNotFoundError Traceback (most recent call last) <ipython-input-1-0000cefd55dc> in <cell line: 13>() ModuleNotFoundError: No module named 'diffusers' Can you help me or can someone explain what this means?

I don’t See a file called Model ckpt i did everything correctly!

Damn, I followed all the steps and the model semmed to work correctly on dreambooth but not in automatic1111 : the *.ckpt shows in the dropdown menu but I can't select it for some reason. Safetensors files work though, what did I do wrong ?

I'm curious about the img2img functionality. Rather than typing a prompt of a cat, I'd love to see if it could translate an image of a specific cat into vrcty_02.

Super!

I want to make sure this doesn't sample other artists. I'm fine with it using pictures of objects for reference but is it 100% only sampling my artwork for style?

Hey, the faces and details are not really good on my model, is it possible to train it further to improve to make details etc? or maybe I should use better prompts?

This is a very straightforward and easy tutorial. Thanks!

how get you dlown Stable Diffusion WebUI i on your mac

where do I get Stable diffusion to downlod on my mac

I know You need to exprot as a 512 X 512 but does it need to be png?

Do I need code because I do not know anything about code but I do want to use my own artistic style

Curious, must you use a specific square size for image size? As most of my pictures are all different sizes and mostly rectangle.

Can I save the file in .safetensors extension and not .ckpt?

Making your own Lora really looks like the way to go for targeted results. Thank you for this.

pls upload a tutorial for training lora as well.

omg it worked aaaaaaaaaaaaaaaaaaaaaaaaaaaa. i've been stuck on this issue for months, im a noob with this so little issues would last weeks. thank so so much. can't believe i did this on my own lol. do you have a discord or community?

currently in the process of training. i was actually looking for the styles panel that on the right in your locally installed SD.. how do you make a style like that?

why i cant find model.ckpt on my drive?

Thanks for the tutorial! I wonder how many images to use for the best result, the more the better? I first used about 30 images, and later 200 images, but the latter doesn't give a better outcome.

Hello friend looks nice did you do it on Mac?

I do mostly abstract illustration I’m wondering how a model could be trained with my art style if objects aren’t recognizable

waste of time stops working nextday

You didnt have to annotate each image?

How can I train one model multiple times? For example: I trained model to recognize new art style, and now I want the same model to be able to draw a specific bunny plush in this new art style. In the colab it says to change model_name to a new path, but path from where? Google drive or the colab folder?

Hi, thank you very much. Used this before and is for sure the easiest and best video out there. Today though I got following error, can you help: ValueError: torch.cuda.is_available() should be True but is False. xformers' memory efficient attention is only available for GPU not sure what to do. Much apprechiated thanks.

Would increasing the number of 'input' images into the model improve the accuracy at which the model is able to replicate the art style? Or will you achieve the same results as long as you input roughly 20-30 as mentioned? Great tutorial, thank you for your time.

is having names of images with same prefixes a mandatory thing?

When making model are they became priviate?no one can use aside from me right?

Thank you! This is well done and helpful.

can someone show me the process of uploading the ckpt to Huggingface and using the model online? plz...anyone?

Thanks so much! I made it, I really made it thanks to you. Trained a model with 39 images, took more than an hour but the results are amazing. I'm so happy!

18min to go

Thank you so much for this video, will give it a try 🙏

For the first time with youtube tutorials, I understood everything, thank you.

Thank you, good video. As for your art; I really like that guy/person with the phones showing him/her/it. Really good.

Actually it is better to train a model with the largest sized pictures your GPU can handle. Of course if you take the base model that was purely trained on 512x you will have issues in the beginning, but just take a custom model that has been trained with larger pictures. The obvious advantage is the level of detail. It might be that a certain art style does not require much detail, but some do, and 512x pics simply cant carry much detail and also being limited to 512x output is another strain. I was actually surprised myself not so long ago how well a 512x model can handle larger sizes, and it basically rendered all my prepared sets useless because it is such a big difference in quality only going up to 768x. But i do actually not use a specific AR on purpose, because i figured if i do that i will limit the model on this AR, so i use the number of pixels my GPU can handle and try to input as much variety as possible and i have seen the duplication issues decreasing since doing so. Its basically not happening any more. And what i mean with number of pixels is this, i figured my GPU can handle around 800,000 pixel very well. This could be for example a 800x1000 picture or 2000x400. You see it does not matter really what format, the maximum is the total number of pixels. A model just need to learn a few example of different formats for the subjects so it will not start duplicating things on the image grid. I am not certain however how large the dataset must be to expand a models capability in that regard since i start my own models from merges i do out of other custom models in an attempt to get the best base for my own ideas. And because the base model is actually not trained very well, if you see some of the data set and how the images have been described it is no wonder that very often things are deformed because there was simply no real focus on a proper image description. And that is also no surprise if you have worked on that you know how much effort it takes even for smaller data sets.

These are great, May I know how can I change the base model that I want to merge with the new one?

Do you not need to add text to the training images to let SD know what they depict?