| |
| |
| from diffusers import DiffusionPipeline |
| import torch |
| import time |
| import os |
| from pathlib import Path |
| from huggingface_hub import HfApi |
|
|
| api = HfApi() |
| start_time = time.time() |
|
|
| pipe = DiffusionPipeline.from_pretrained("/home/patrick/if", torch_dtype=torch.float16, variant="fp16", use_safetensors=True) |
| pipe.enable_model_cpu_offload() |
|
|
| generator = torch.Generator("cuda").manual_seed(0) |
| prompt = 'a photo of a kangaroo wearing an orange hoodie and blue sunglasses standing in front of the eiffel tower holding a sign that says "very deep learning"' |
|
|
| image = pipe(prompt, generator=generator).images[0] |
|
|
| path = os.path.join(Path.home(), "images", "if.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(f"https://huggingface.co/datasets/patrickvonplaten/images/blob/main/if.png") |
|
|
