This is another high quality textual inversion embedding that I am excited to release to the stable diffusion community! I have been really underwhelmed by the output of the existing GTA embeddings and checkpoints available currently and I wanted to be able to reliably apply that eye-catching Rockstar style to a variety of subjects and locations, without everybody looking like Michael or having a palm tree growing out of my snowy mountainside. So through a lot of trial and error, I feel I have finally achieved that goal, and I am so excited to share my extremely reliable and versatile Grand Theft Auto 5 style embedding for Stable Diffusion version 2.X models.
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To use this embedding in AUTOMATIC1111, copy it to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a compatible model or you will get errors!
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GTA768 is a general purpose embedding. It can easily reproduce GTA5 style imagery, i.e. "man holding gun in front of palm tree in Los Santos" type prompts all day, with very few duds (though "holding a gun" is still pretty tough ask for SD in general). This is easy.
πͺ It also has a trick up its sleeve! Because GTA768 is so flexible and versatile, you can use it to produce magical nautical imagery, breathtaking heavy brush natural landscapes, gorgeous period pieces and adorable animals. It also mixes really well with other high quality embeddings such as my SDA768 and Inkpunk768 embeddings.
ππI hope you enjoy using this embedding in your art as much as I enjoy creating them for the Stable Diffusion community. ππΌππΌIf you do like it, can you pretty please click the heart at the top and leave a review? Many thanks! ππ
Special Note - This is a gun happy embedding thanks to the original artwork training images. If you're getting overwhelmed with guns, make sure to add "gun" to your negative prompt, it works really well to get everybody to holster their weapons and get back to posing the way you want them to!
Training Config:
- Learning Rate: 0.005:60, 0.0005:1500, 0.00025:3000, 0.000075
- Vectors: 12
- Training Model: 768-v-ema.ckpt (2.0 version model)
- Training Steps: GTA768v3-2800
- Training Samples: 75 high quality 768x768 training images, which are a selection of original GTA5 artwork mixed with a subset of hand picked GTA-style AI generated images using the GTA5 checkpoint model which matched my target style but offered a variety of subjects and landscapes to provide a more consistent, reliable and better quality training experience. My training images are included if you wish to download and inspect for yourself.
Description
General purpose embedding, can easily reproduce GTA5 style imagery, i.e. "man holding gun in front of palm tree in Los Santos" type prompts all day, with very few duds. It also produces magical nautical imagery, breathtaking heavy brush natural landscapes, gorgeous period pieces and adorable animals. ππΌππͺ
FAQ
Comments (3)
Can you list what widely used models are compatible? I tried with SD 1.5 and a number of others with dimensions set to 768,768 and keep getting RuntimeError: Sizes of tensors must match except in dimension 0. Expected size 768 but got size 1024 for tensor number 1 in the list.
This requires 2.0/2.1 models. Won't work with any 1.5 or below models, as they use different sized tensors (hence the error) - I personally use v2.1-768-nonema-pruned, but my embeds are compatible with any of the version 2.0/2.X Stability models, including the depth map and inpaint models.
edit - Ahhh, I see why this was confusing you, I created this listing before TI's had "version" option, and it defaulted to 1.5 when that option was added. I'm sorry! I've updated the listing, and this tells me I need to check my other listings as well. Yep, use 2.X and it'll work!
Yep, I didn't have 2.0/2.1 installed. Downloaded them and the appropriate yamls and your embeddings worked like a charm. But you're exactly right - the one at least was listed as 1.5 so I was wondering why it was erroring out on me each model I used.
Details
Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.













