model in voluems
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				@ -1,6 +1,6 @@
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from config import config
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import modal
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from modal import Image, Mount, web_endpoint, Stub, asgi_app
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from modal import Image, Mount, web_endpoint, Stub, asgi_app, Volume
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import json
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import urllib.request
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import urllib.parse
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@ -28,6 +28,8 @@ web_app = FastAPI()
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print(config)
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print("deploy_test ", deploy_test)
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stub = Stub(name=config["name"])
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volume = modal.Volume.persisted("model-store")
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MODEL_DIR = "/comfyui/models/checkpoints/"
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# print(stub.app_id)
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if not deploy_test:
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@ -72,6 +74,7 @@ if not deploy_test:
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        .copy_local_file(f"{current_directory}/data/deps.json", "/")
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        .run_commands("python install_deps.py")
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        .run_commands(f"rm -rf {MODEL_DIR}") # clear model dir so volume can mount, NOTE: could instead use the extra_model_paths
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    )
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# Time to wait between API check attempts in milliseconds
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@ -154,7 +157,9 @@ image = Image.debian_slim()
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target_image = image if deploy_test else dockerfile_image
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@stub.function(image=target_image, gpu=config["gpu"])
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@stub.function(image=target_image, gpu=config["gpu"]
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               , volumes={MODEL_DIR: volume}
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               )
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def run(input: Input):
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    import subprocess
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    import time
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@ -235,7 +240,9 @@ async def bar(request_input: RequestInput):
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    # pass
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@stub.function(image=image)
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@stub.function(image=image
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    , volumes={MODEL_DIR: volume}
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           )
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@asgi_app()
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def comfyui_api():
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    return web_app
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@ -285,6 +292,7 @@ def spawn_comfyui_in_background():
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    # to be on a single container.
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    concurrency_limit=1,
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    timeout=10 * 60,
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    volumes={MODEL_DIR: volume}
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)
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@asgi_app()
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def comfyui_app():
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										44
									
								
								builder/modal-builder/src/template/data/insert_models.py
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										44
									
								
								builder/modal-builder/src/template/data/insert_models.py
									
									
									
									
									
										Normal file
									
								
							@ -0,0 +1,44 @@
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import modal
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import subprocess
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import requests
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stub = modal.Stub()
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# NOTE: volume name can be variable
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volume = modal.Volume.persisted("model-store")
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model_store_path = "/vol/models"
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MODEL_ROUTE = "models"
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image = (
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    modal.Image.debian_slim().apt_install("wget").pip_install("requests")
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)
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@stub.function(volumes={model_store_path: volume}, gpu="any", image=image, timeout=600)
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def download_model(model):
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    # wget https://civitai.com/api/download/models/{modelVersionId} --content-disposition
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    model_id = model['modelVersions'][0]['id']
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    download_url = f"https://civitai.com/api/download/models/{model_id}"
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    subprocess.run(["wget", download_url, "--content-disposition", "-P", model_store_path])
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    subprocess.run(["ls", "-la", model_store_path])
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    volume.commit()  
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# file is raw output from Civitai API https://github.com/civitai/civitai/wiki/REST-API-Reference
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@stub.function()
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def get_civitai_models(model_type: str, sort: str = "Highest Rated", page: int = 1):
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    """Fetch models from CivitAI API based on type."""
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    try:
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        response = requests.get(f"https://civitai.com/api/v1/models", params={"types": model_type, "page": page, "sort": sort})
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        response.raise_for_status()
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        return response.json()
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    except requests.RequestException as e:
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        print(f"Error fetching models: {e}")
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        return None
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@stub.local_entrypoint()
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def insert_model(type: str = "Checkpoint", sort = "Highest Rated", page: int = 1):
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    civitai_models = get_civitai_models.local(type, sort, page)
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    if civitai_models:
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        for _ in download_model.map(civitai_models['items'][1:]):
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            pass
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    else:
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        print("Failed to retrieve models.")
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@ -45,12 +45,12 @@ for package in packages:
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    response = requests.request("POST", f"{root_url}/customnode/install", json=package, headers=headers)
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    print(response.text)
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with open('models.json') as f:
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    models = json.load(f)
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for model in models:
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    response = requests.request("POST", f"{root_url}/model/install", json=model, headers=headers)
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    print(response.text)
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# with open('models.json') as f:
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#     models = json.load(f)
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#
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# for model in models:
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#     response = requests.request("POST", f"{root_url}/model/install", json=model, headers=headers)
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#     print(response.text)
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# Close the server
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server_process.terminate()
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