ITRobo2022 model. Trained on SD 1.5.

I really like the Robo-Diffusion model (https://huggingface.co/nousr/robo-diffusion), but most of what you can get with it is robot heads. :)
In my model I tried to emphasize full-length images of robots. I also get good results on a homogeneous background, which makes it easier to cut out objects for further work.
However, good results are also obtained with mixed queries. Try it. Good luck!

!!! For best result use this token at the beginning of the prompt: itrobo2022

itrobo2022.ckpt - base trained model. It's a little hard to control the result, but good for generating a variety of robots, and for working with img2img.
itrobo2022-40-with-v1-5-pruned-emaonly-60.ckpt - 40% mixed with base SD1.5. Better manageability and control of results.

Example:
Prompt: ITRobo2022 (a full body photo of pug)+, isolated, high resolution photo, cinematic lighting, trending on artstation, DOF, high resolution, 4 k, 8 k, solid background
Negative prompt: (duplicate)+++, deformed, no leg, blurry, no head, headless, watermarks, writings, text, marks, ugly, a lot of fingers, mutation, too many legs

Prompt: A realistic photograph of a 3d robot in a modern city. A glossy white and orange robot.
Negative prompt: black and white robot, picture frame, a children's drawing in crayon. #Wholesale, Abstract Metal Sculpture. i'm leaving a bad review.

Best results on:
DDIM
steps:20
CFG scale 7
512x512

img2img:

NSFW :)