VikramSingh178 commited on
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1 Parent(s): c226a85

chore: Update Dockerfile and requirements.txt, and add config_settings.py

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Former-commit-id: 002a6825814239d28e518dd3d2f207c9dad8f5ae
Former-commit-id: 9a25f9401c97ac0ca7f91db319cd2cbee7ac528c

Files changed (3) hide show
  1. Dockerfile +1 -4
  2. config_settings.py +12 -0
  3. scripts/config.py +16 -12
Dockerfile CHANGED
@@ -1,7 +1,4 @@
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- # Dockerfile for Python application with dependencies and runtime optimizations
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-
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- # Use Python 3.10 slim-buster as base image
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- FROM python:3.10-slim-buster
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  # Set working directory in the container
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  WORKDIR /app
 
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+ FROM python:3.10
 
 
 
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  # Set working directory in the container
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  WORKDIR /app
config_settings.py ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ from pydantic import BaseSettings
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+
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+ class Settings(BaseSettings):
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+ AWS_ACCESS_KEY_ID: str = ''
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+ AWS_SECRET_ACCESS_KEY: str = ''
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+ AWS_REGION: str = "ap-south-1"
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+ AWS_BUCKET_NAME: str="diffusion-model-bucket"
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+
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+
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+
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+ Settings()
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+
scripts/config.py CHANGED
@@ -1,15 +1,17 @@
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- MODEL_NAME="stabilityai/stable-diffusion-xl-base-1.0"
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- ADAPTER_NAME = "VikramSingh178/sdxl-lora-finetune-product-caption"
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- ADAPTER_NAME_2 = "VikramSingh178/Products10k-SDXL-Lora"
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- VAE_NAME= "madebyollin/sdxl-vae-fp16-fix"
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- DATASET_NAME= "hahminlew/kream-product-blip-captions"
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- PROJECT_NAME = "Product Photography"
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- PRODUCTS_10k_DATASET = "VikramSingh178/Products-10k-BLIP-captions"
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- CAPTIONING_MODEL_NAME = "Salesforce/blip-image-captioning-base"
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- SEGMENTATION_MODEL_NAME = "facebook/sam-vit-large"
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- DETECTION_MODEL_NAME = "yolov8l"
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- ENABLE_COMPILE = True
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- INPAINTING_MODEL_NAME = 'kandinsky-community/kandinsky-2-2-decoder-inpaint'
 
 
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@@ -68,3 +70,5 @@ class Config:
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  self.noise_offset = 0
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  self.rank = 4
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  self.debug_loss = False
 
 
 
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+ MODEL_NAME:str="stabilityai/stable-diffusion-xl-base-1.0"
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+ ADAPTER_NAME:str = "VikramSingh178/sdxl-lora-finetune-product-caption"
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+ ADAPTER_NAME_2:str = "VikramSingh178/Products10k-SDXL-Lora"
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+ VAE_NAME:str= "madebyollin/sdxl-vae-fp16-fix"
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+ DATASET_NAME:str = "hahminlew/kream-product-blip-captions"
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+ PROJECT_NAME:str = "Product Photography"
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+ PRODUCTS_10k_DATASET:str = "VikramSingh178/Products-10k-BLIP-captions"
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+ CAPTIONING_MODEL_NAME:str = "Salesforce/blip-image-captioning-base"
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+ SEGMENTATION_MODEL_NAME:str = "facebook/sam-vit-large"
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+ DETECTION_MODEL_NAME:str = "yolov8l"
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+ ENABLE_COMPILE:bool = True
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+ INPAINTING_MODEL_NAME:str = 'kandinsky-community/kandinsky-2-2-decoder-inpaint'
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+
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+
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  self.noise_offset = 0
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  self.rank = 4
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  self.debug_loss = False
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+
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+