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update run_modal.py #354

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55 changes: 13 additions & 42 deletions run_modal.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,53 +30,24 @@

# define modal app
image = (
modal.Image.debian_slim(python_version="3.11")
modal.Image.from_registry("nvidia/cuda:12.9.0-base-ubuntu24.04", add_python="3.12")
# install required system and pip packages, more about this modal approach: https://modal.com/docs/examples/dreambooth_app
.apt_install("libgl1", "libglib2.0-0")
.pip_install(
"python-dotenv",
"torch",
"diffusers[torch]",
"transformers",
"ftfy",
"torchvision",
"oyaml",
"opencv-python",
"albumentations",
"safetensors",
"lycoris-lora==1.8.3",
"flatten_json",
"pyyaml",
"tensorboard",
"kornia",
"invisible-watermark",
"einops",
"accelerate",
"toml",
"pydantic",
"omegaconf",
"k-diffusion",
"open_clip_torch",
"timm",
"prodigyopt",
"controlnet_aux==0.0.7",
"bitsandbytes",
"hf_transfer",
"lpips",
"pytorch_fid",
"optimum-quanto",
"sentencepiece",
"huggingface_hub",
"peft"
.apt_install(
"libgl1",
"libglib2.0-0",
"git",
"build-essential",
"clang",
"pkg-config"
)
.pip_install_from_requirements(
"requirements.txt",
)
.add_local_dir(".", "/root/ai-toolkit")
)

# mount for the entire ai-toolkit directory
# example: "/Users/username/ai-toolkit" is the local directory, "/root/ai-toolkit" is the remote directory
code_mount = modal.Mount.from_local_dir("/Users/username/ai-toolkit", remote_path="/root/ai-toolkit")

# create the Modal app with the necessary mounts and volumes
app = modal.App(name="flux-lora-training", image=image, mounts=[code_mount], volumes={MOUNT_DIR: model_volume})
app = modal.App(name="flux-lora-training", image=image, volumes={MOUNT_DIR: model_volume})

# Check if we have DEBUG_TOOLKIT in env
if os.environ.get("DEBUG_TOOLKIT", "0") == "1":
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