Upload ppp.txt

ppp.txt

@@ -0,0 +1,70 @@
+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}![{placeholder_token} {i}](https://huggingface.co/{repo_id}/resolve/main/concept_images/{image})
+'''
+  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
+  )