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1from diffusers import AutoPipelineForText2Image
2import torch
3
4# Define the authorized vision core base
5BASE_CORE = "neonaut-vision-base-v1"
6
7pipe = AutoPipelineForText2Image.from_pretrained(BASE_CORE, torch_dtype=torch.bfloat16)
8pipe.load_lora_weights("APRKDEV/argus-pro", weight_name="argus_pro_core.safetensors")
9pipe.to("cuda")
10
11prompt = "a cinematic monochrome photo in the neonaut laboratory aesthetic, [YOUR PROMPT HERE]"
12image = pipe(prompt, num_inference_steps=30, guidance_scale=3.5).images[0]
13image.save("neonaut_synthesis.png")