| |
| from diffusers import StableDiffusionPipeline, DPMSolverSinglestepScheduler, DPMSolverMultistepScheduler, DEISMultistepScheduler, HeunDiscreteScheduler |
| import time |
| from huggingface_hub import HfApi |
| import torch |
| import sys |
|
|
| path = sys.argv[1] |
|
|
| api = HfApi() |
| start_time = time.time() |
| pipe = StableDiffusionPipeline.from_pretrained(path, torch_dtype=torch.float16) |
| pipe.scheduler = HeunDiscreteScheduler.from_config(pipe.scheduler.config) |
| pipe = pipe.to("cuda") |
|
|
| prompt = "a highly realistic photo of green turtle" |
| generator = torch.Generator(device="cuda").manual_seed(0) |
| image = pipe(prompt, generator=generator, num_inference_steps=25).images[0] |
| print("Time", time.time() - start_time) |
|
|
| path = "/home/patrick_huggingface_co/images/aa.png" |
| image.save(path) |
|
|
| api.upload_file( |
| path_or_fileobj=path, |
| path_in_repo=path.split("/")[-1], |
| repo_id="patrickvonplaten/images", |
| repo_type="dataset", |
| ) |
| print("https://huggingface.co/datasets/patrickvonplaten/images/blob/main/aa.png") |
|
|
