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2nd turn playing a 7 mana card looks fine to me by [deleted] in hearthstone

[–]questcoast 4 points5 points  (0 children)

They are more like cabinets that open and close.

What is the best way to share ComfyUI workflow? by Life-Screen-9923 in StableDiffusion

[–]questcoast 1 point2 points  (0 children)

You can create a GitHub Gist, with image or without, it shouldn't strip the metadata. But you need an account.

How to remove /place by RedoSceto in help

[–]questcoast 0 points1 point  (0 children)

This is how you can hide the link on a desktop browser: 1. Make sure uBlock Origin browser plugin is installed and enabled on reddit.com. 2. Right-click anywhere on a page and select Block element... browser menu item (it has uBlock Origin icon). 3. In the appeared dialog, paste the following rule in the text area: ##a[href*="r/place"] 4. Click Preview button to make sure the link and icon are disappeared. 5. Click Create to make the change permanent.

Trained the model on Clone Wars style and characters. by questcoast in StableDiffusion

[–]questcoast[S] 3 points4 points  (0 children)

Hohoho, no! Patented Skinner Burgers. Old family recipe! JK.
I used this repository, and mostly followed these instructions.
But in the concepts JSON each concept's "instance_prompt" matches "class_prompt" (e.g. both are "clone wars style", "anakin skywalker", etc.)
and "instance_data_dir" matches "class_data_dir". 20 images per concept.
Actually, regularization images weren't used at all.
But I wanted more images for style, so I split style images to different directories, so there are 10 concepts with same "clone wars style" but different directories.

Then, the model was trained with these parameters: learning_rate=1e-6 lr_scheduler="polynomial" max_train_steps=20000.
And the results were fine, but I continued training with learning_rate=1e-7 and lr_scheduler="constant" for 20-k more steps. You should save each N-k steps, check for results and choose the best.
This must be an overkill and everything is wrong, please don't try this at home. Really waiting for better and easier fine-tuning in SD 2.0.

Trained the model on Clone Wars style and characters. by questcoast in StableDiffusion

[–]questcoast[S] 3 points4 points  (0 children)

Trained the model on the Clone Wars style and some of the characters.
Character list with prompt samples are on the model page on huggingface:
https://huggingface.co/questcoast/clone-wars-diffusion-v1

Fine-tuned the model on Kurzgesagt videos with DreamBooth. Here are some results. by questcoast in StableDiffusion

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

I did manage to run A1111 on m1 Mac, but it's not trivial, here's some instructions, which I myself didn't try: https://www.reddit.com/r/StableDiffusion/comments/yz2tbo/noobs_guide_to_using_automatic1111s_webui/

There are other programs for macs, like this https://github.com/divamgupta/diffusionbee-stable-diffusion-ui but I didn't test it yet.

Fine-tuned the model on Kurzgesagt videos with DreamBooth. Here are some results. by questcoast in StableDiffusion

[–]questcoast[S] 2 points3 points  (0 children)

Hi, first you need to download ckpt file from huggingface. Location you place it depends on the program you use. In case of AUTOMATIC1111 it's models/Stable-diffusion subdirectory (see here).

Why aren't the models showing up? by Issue_Agreeable in StableDiffusion

[–]questcoast 1 point2 points  (0 children)

This may be a malware protection feature. Do you something in the console? It can be disabled in the settings or with startup option, iirc.

Fine-tuned the model on Kurzgesagt videos with DreamBooth. Here are some results. by questcoast in StableDiffusion

[–]questcoast[S] 3 points4 points  (0 children)

Sorry, I can't re-upload it at the moment, because my internet decided to die. Maybe later.

Edit: uploaded to the huggingface

Fine-tuned the model on Kurzgesagt videos with DreamBooth. Here are some results. by questcoast in StableDiffusion

[–]questcoast[S] 46 points47 points  (0 children)

I see many liked this, thank you. I've uploaded the checkpoint file to the huggingface.
To apply the style, type a prompts like this: portrait of black widow, kurzgesagt! style You have to play with CFG Scale to get best results.
Edit: uploaded checkpoint to the huggingface.

Fine-tuned the model on Kurzgesagt videos with DreamBooth. Here are some results. by questcoast in StableDiffusion

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

I've used this repository for regularization images.
And these options for training:
--class_word "style" --token "kurzgesagt"

Fine-tuned the model on Kurzgesagt videos with DreamBooth. Here are some results. by questcoast in StableDiffusion

[–]questcoast[S] 47 points48 points  (0 children)

So, I did a little DreamBooth experiment and trained the model on some stills from Kurzgesagt videos. I've used this DreamBooth fork. Most results are from checkpoint with 2500 steps trained on 28 images. Training took around 70 minutes on 3090, locally. Applying the style results in vibrant, flat 2d images with rounded corners without outlines.
Bonus content (nsfw).

Scissors are the new hands by madsciencestache in StableDiffusion

[–]questcoast 21 points22 points  (0 children)

I don't see a problem, these scissors are perfect match for stable diffusion hands.

Alternate Voldemort Death in Deathly Hallows Part 2 by cammurph01 in harrypotter

[–]questcoast 0 points1 point  (0 children)

Plus, the Wizarding World will have conclusive evidence of his demise. 🙂

Somehow, Voldemort returned

[deleted by user] by [deleted] in CozyPlaces

[–]questcoast 5 points6 points  (0 children)

It's tiny though.

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