| ou aren't part of it already | |
| !curl -X POST -H 'Authorization: Bearer '$hf_token -H 'Content-Type: application/json' https://huggingface.co/organizations/sd-concepts-library/share/VcLXJtzwwxnHYCkNMLpSJCdnNFZHQwWywv | |
| images_upload = os.listdir("my_concept") | |
| image_string = "" | |
| repo_id = f"sd-concepts-library/{slugify(name_of_your_concept)}" | |
| for i, image in enumerate(images_upload): | |
| image_string = f'''{image_string} | |
| ''' | |
| if(what_to_teach == "style"): | |
| what_to_teach_article = f"a `{what_to_teach}`" | |
| else:#@title Save your newly created concept to the [library of concepts](https://huggingface.co/sd-concepts-library)? | |
| save_concept_to_public_library = True #@param {type:"boolean"} | |
| name_of_your_concept = "tzuyu m" #@param {type:"string"} | |
| #@markdown `hf_token_write`: leave blank if you logged in with a token with `write access` in the [Initial Setup](#scrollTo=KbzZ9xe6dWwf). If not, [go to your tokens settings and create a write access token](https://huggingface.co/settings/tokens) | |
| hf_token_write = "" #@param {type:"string"} | |
| if(save_concept_to_public_library): | |
| from slugify import slugify | |
| from huggingface_hub import HfApi, HfFolder, CommitOperationAdd | |
| from huggingface_hub import create_repo | |
| repo_id = f"sd-concepts-library/{slugify(name_of_your_concept)}" | |
| output_dir = hyperparameters["output_dir"] | |
| if(not hf_token_write): | |
| with open(HfFolder.path_token, 'r') as fin: hf_token = fin.read(); | |
| else: | |
| hf_token = hf_token_write | |
| #Join the Concepts Library organization if y | |
| what_to_teach_article = f"an `{what_to_teach}`" | |
| readme_text = f'''--- | |
| license: mit | |
| --- | |
| ### {name_of_your_concept} on Stable Diffusion | |
| This is the `{placeholder_token}` concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the [Stable Conceptualizer](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_conceptualizer_inference.ipynb) notebook. You can also train your own concepts and load them into the concept libraries using [this notebook](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/sd_textual_inversion_training.ipynb). | |
| Here is the new concept you will be able to use as {what_to_teach_article}: | |
| {image_string} | |
| ''' | |
| #Save the readme to a file | |
| readme_file = open("README.md", "w") | |
| readme_file.write(readme_text) | |
| readme_file.close() | |
| #Save the token identifier to a file | |
| text_file = open("token_identifier.txt", "w") | |
| text_file.write(placeholder_token) | |
| text_file.close() | |
| #Save the type of teached thing to a file | |
| type_file = open("type_of_concept.txt","w") | |
| type_file.write(what_to_teach) | |
| type_file.close() | |
| operations = [ | |
| CommitOperationAdd(path_in_repo="learned_embeds.bin", path_or_fileobj=f"{output_dir}/learned_embeds.bin"), | |
| CommitOperationAdd(path_in_repo="token_identifier.txt", path_or_fileobj="token_identifier.txt"), | |
| CommitOperationAdd(path_in_repo="type_of_concept.txt", path_or_fileobj="type_of_concept.txt"), | |
| CommitOperationAdd(path_in_repo="README.md", path_or_fileobj="README.md"), | |
| ] | |
| create_repo(repo_id,private=True, token=hf_token) | |
| api = HfApi() | |
| api.create_commit( | |
| repo_id=repo_id, | |
| operations=operations, | |
| commit_message=f"Upload the concept {name_of_your_concept} embeds and token", | |
| token=hf_token | |
| ) | |
| api.upload_folder( | |
| folder_path=save_path, | |
| path_in_repo="concept_images", | |
| repo_id=repo_id, | |
| token=hf_token | |
| ) |