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Update deployment code to use explicit downloader #54

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merged 3 commits into from
Aug 9, 2023
Merged

Update deployment code to use explicit downloader #54

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655b596
Make a separate download function
corystephenson-db Aug 3, 2023
c073c61
Update yaml
corystephenson-db Aug 7, 2023
a797e6c
Fix an import
corystephenson-db Aug 7, 2023
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19 changes: 13 additions & 6 deletions diffusion/inference/inference_model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@

import base64
import io
from typing import Any, Dict, List, Optional
from typing import Any, Dict, List

import torch
from composer.utils.file_helpers import get_file
Expand All @@ -17,6 +17,15 @@
LOCAL_CHECKPOINT_PATH = '/tmp/model.pt'


def download_checkpoint(chkpt_path: str):
"""Downloads the Stable Diffusion checkpoint to the local filesystem.

Args:
chkpt_path (str): The path to the local folder, URL or object score that contains the checkpoint.
"""
get_file(path=chkpt_path, destination=LOCAL_CHECKPOINT_PATH)


class StableDiffusionInference():
"""Inference endpoint class for Stable Diffusion.

Expand All @@ -26,13 +35,11 @@ class StableDiffusionInference():
Default: ``None``.
"""

def __init__(self, chkpt_path: Optional[str] = None):
pretrained_flag = chkpt_path is None
def __init__(self, pretrained: bool = False):
self.device = torch.cuda.current_device()

model = stable_diffusion_2(pretrained=pretrained_flag, encode_latents_in_fp16=True, fsdp=False)
if not pretrained_flag:
get_file(path=chkpt_path, destination=LOCAL_CHECKPOINT_PATH)
model = stable_diffusion_2(pretrained=pretrained, encode_latents_in_fp16=True, fsdp=False)
if not pretrained:
state_dict = torch.load(LOCAL_CHECKPOINT_PATH)
for key in list(state_dict['state']['model'].keys()):
if 'val_metrics.' in key:
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5 changes: 5 additions & 0 deletions diffusion/inference/mosaic_inference.yaml
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Expand Up @@ -10,7 +10,12 @@ integrations:
git_branch: main
pip_install: .[all]
model:
downloader: diffusion.inference.inference_model.download_checkpoint
download_parameters:
chkpt_path: # Path to download the checkpoint to evaluate
model_handler: diffusion.inference.inference_model.StableDiffusionInference
model_parameters:
pretrained: false
command: |
export PYTHONPATH=$PYTHONPATH:/code/diffusion
rm /usr/lib/python3/dist-packages/packaging-23.1.dist-info/REQUESTED
Expand Down