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Runtime error
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•
efd358c
1
Parent(s):
25db69d
Faster zipping, fix join org link
Browse files
app.py
CHANGED
@@ -9,6 +9,7 @@ from PIL import Image
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from slugify import slugify
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import requests
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import torch
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from diffusers import StableDiffusionPipeline
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css = '''
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@@ -20,6 +21,15 @@ model_to_load = "multimodalart/sd-fine-tunable"
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maximum_concepts = 3
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#Pre download the files even if we don't use it here
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StableDiffusionPipeline.from_pretrained(model_to_load)
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def swap_text(option):
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mandatory_liability = "You must have the right to do so and you are liable for the images you use, example:"
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if(option == "object"):
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@@ -128,7 +138,9 @@ def train(*inputs):
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torch.cuda.empty_cache()
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#convert("output_model", "model.ckpt")
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#shutil.rmtree('instance_images')
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shutil.make_archive("diffusers_model", 'zip', "output_model")
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torch.cuda.empty_cache()
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return [gr.update(visible=True, value=["diffusers_model.zip"]), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)]
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@@ -153,7 +165,7 @@ def push(model_name, where_to_upload, hf_token):
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else:
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model_id = f"sd-dreambooth-library/{model_name_slug}"
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headers = {"Authorization" : f"Bearer: {hf_token}", "Content-Type": "application/json"}
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response = requests.post("https://
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images_upload = os.listdir("instance_images")
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image_string = ""
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@@ -167,10 +179,8 @@ def push(model_name, where_to_upload, hf_token):
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else:
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title_instance_prompt_string = ''
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previous_instance_prompt = instance_prompt
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image_string = f'''
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-
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{image_string}![{instance_prompt} {i}](https://huggingface.co/{model_name_slug}/resolve/main/sample_images/{image})
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'''
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readme_text = f'''---
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license: creativeml-openrail-m
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tags:
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@@ -191,6 +201,7 @@ Sample pictures of this concept:
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text_file = open("token_identifier.txt", "w")
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text_file.write(', '.join(instance_prompt_list))
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text_file.close()
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operations = [
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CommitOperationAdd(path_in_repo="token_identifier.txt", path_or_fileobj="token_identifier.txt"),
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CommitOperationAdd(path_in_repo="README.md", path_or_fileobj="README.md"),
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@@ -218,7 +229,7 @@ Sample pictures of this concept:
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def convert_to_ckpt():
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convert("output_model", "model.ckpt")
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return gr.update(visible=True, value=["diffusers_model.zip", "model.ckpt"])
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-
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with gr.Blocks(css=css) as demo:
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with gr.Box():
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if "IS_SHARED_UI" in os.environ:
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from slugify import slugify
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import requests
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import torch
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import zipfile
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from diffusers import StableDiffusionPipeline
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css = '''
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maximum_concepts = 3
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#Pre download the files even if we don't use it here
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StableDiffusionPipeline.from_pretrained(model_to_load)
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def zipdir(path, ziph):
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# ziph is zipfile handle
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for root, dirs, files in os.walk(path):
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for file in files:
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ziph.write(os.path.join(root, file),
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os.path.relpath(os.path.join(root, file),
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os.path.join(path, '..')))
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def swap_text(option):
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mandatory_liability = "You must have the right to do so and you are liable for the images you use, example:"
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if(option == "object"):
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torch.cuda.empty_cache()
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#convert("output_model", "model.ckpt")
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#shutil.rmtree('instance_images')
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#shutil.make_archive("diffusers_model", 'zip', "output_model")
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with zipfile.ZipFile('diffusers_model.zip', 'w', zipfile.ZIP_DEFLATED) as zipf:
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zipdir('output_model/', zipf)
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torch.cuda.empty_cache()
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return [gr.update(visible=True, value=["diffusers_model.zip"]), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)]
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else:
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model_id = f"sd-dreambooth-library/{model_name_slug}"
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headers = {"Authorization" : f"Bearer: {hf_token}", "Content-Type": "application/json"}
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response = requests.post("https://huggingface.co/organizations/sd-dreambooth-library/share/SSeOwppVCscfTEzFGQaqpfcjukVeNrKNHX", headers=headers)
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images_upload = os.listdir("instance_images")
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image_string = ""
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else:
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title_instance_prompt_string = ''
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previous_instance_prompt = instance_prompt
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image_string = f'''{title_instance_prompt_string}
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{image_string}![{instance_prompt} {i}](https://huggingface.co/{model_name_slug}/resolve/main/sample_images/{image})'''
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readme_text = f'''---
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license: creativeml-openrail-m
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tags:
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text_file = open("token_identifier.txt", "w")
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text_file.write(', '.join(instance_prompt_list))
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text_file.close()
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create_repo(model_id,private=True, token=hf_token)
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operations = [
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CommitOperationAdd(path_in_repo="token_identifier.txt", path_or_fileobj="token_identifier.txt"),
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CommitOperationAdd(path_in_repo="README.md", path_or_fileobj="README.md"),
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def convert_to_ckpt():
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convert("output_model", "model.ckpt")
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return gr.update(visible=True, value=["diffusers_model.zip", "model.ckpt"])
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+
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with gr.Blocks(css=css) as demo:
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with gr.Box():
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if "IS_SHARED_UI" in os.environ:
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