from diffusers import StableDiffusionPipeline import torch model_id = "runwayml/stable-diffusion-v1-5" pipe = StableDiffusionPipeline.from_pretrained( model_id, torch_dtype=torch.float16 ) pipe = pipe.to("cuda") prompt = """ masterpiece, best quality, 1girl, silver hair, red eyes, fantasy armor, night castle, highly detailed """ image = pipe(prompt).images[0] image.save("output.png") print character = { "hair": "silver hair", "eyes": "red eyes", "clothes": "black armor", "background": "ruined castle", "style": "anime style" } base = "masterpiece, best quality" prompt = ( f"{base}, " f"{character['hair']}, " f"{character['eyes']}, " f"{character['clothes']}, " f"{character['background']}, " f"{character['style']}" ) print(prompt) masterpiece, best quality, silver hair, red eyes, black armor, ruined castle, anime style