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from diffusers import StableDiffusionPipeline | |
import torch | |
#remember to login with token before loading model | |
def text_to_hair(prompt, save_name, num_inference_steps=500, guidance_scale=8, model_path ="CVH-vn1210/hair-model"): | |
pipe = StableDiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2",torch_dtype=torch.float16) | |
pipe.unet.load_attn_procs(model_path) | |
pipe.to("cuda") | |
image = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=8).images[0] | |
image.save(save_name) #comment if don't want to save image | |
return image #PIL format |