flux_image
/
Regional-Prompting-FLUX
/diffusers
/examples
/research_projects
/colossalai
/inference.py
import torch | |
from diffusers import StableDiffusionPipeline | |
model_id = "path-to-your-trained-model" | |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16).to("cuda") | |
prompt = "A photo of sks dog in a bucket" | |
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0] | |
image.save("dog-bucket.png") | |