chore: Update Dockerfile and requirements.txt

chore: Update Dockerfile and requirements.txt for Huggingface Spaces deployment

chore: Update dependencies in requirements.txt and fix import statement in painting.py

Refactor code to use shared BaseModel for Painting and InpaintingRequest classes

chore: Include batch_painting router in product diffusion API

chore: Update Inpainting model name in config.py

chore: Update import statement for InpaintingRequest in painting.py and refactor code to use shared BaseModel for Painting and InpaintingRequest classes

chore: Update import statement for InpaintingRequest in painting.py and refactor code to use shared BaseModel for Painting and InpaintingRequest classes

chore: Update SDXL LORA TEXT-TO-IMAGE gradio UI theme to 'gradio/soft'

chore: Refactor code to use shared BaseModel for Painting and InpaintingRequest classes

chore: Refactor code to use shared BaseModel for Painting and InputFormat classes

Task: Update gradio UI for SDXL LORA TEXT-TO-IMAGE

commit

chore: Update roi_scale in inpainting.yaml and add gradio UI for SDXL LORA Inpainting

chore: Update inpainting pipeline configuration and parameters

Update requirements.txt to include boto3

Merge pull request #28 from VikramxD/v2

commit

Merge pull request #27 from VikramxD/v2

chore: Update inpainting pipeline configuration and parameters

chore: Update inpainting pipeline configuration and parameters

Merge pull request #26 from VikramxD/v2

chore: Update segmentation model to facebook/sam-vit-huge and adjust prompt and negative prompt for inpainting pipeline

Merge pull request #25 from VikramxD/v2

chore: Update .gitignore and add new files for inpainting pipeline

Update products10k_captions.py

chore: Update segmentation model to facebook/sam-vit-large

feat: Add YOLOv8s object detection model

chore: Install libgl1-mesa-glx for compatibility with image processing libraries

refactor: Update import statement for accelerator and image augmentation functionality

Update import statement for accelerator and add image augmentation functionality

refactor: Update import statement for accelerator in sdxl_text_to_image.py

chore: Configure logfire for logging in product diffusion API

commit

refactor: Update SDXL-LoRA inference pipeline to load multiple adapter weights

refactor: Update image captioning script to use Salesforce/blip-image-captioning-large model

refactor: Update image captioning script to use Salesforce/blip-image-captioning-base model

refactor: Update image captioning script to use Salesforce/blip-image-captioning-large model

refactor: Update image captioning script to use Salesforce/blip-image-captioning-large model

Update image captioning script to use Salesforce/blip-image-captioning-large model

chore: Add inpainting and outpainting router to product diffusion API

feature: Add mode option for generating S3 URL or b64 JSON in SDXL-LoRA inference

Feature added an Option for Either Generating an S3 url or b64 json

update : Add config.env to repository and update SDXL-LoRA inference pipeline and model weights

Update SDXL-LoRA inference pipeline and model weights

Update MAX_QUEUE_SIZE to 64 in sdxl_text_to_image.py

Update SDXL-LoRA inference pipeline and model weights

Add new endpoints for product diffusion API and SDXL-LoRA inference

commit

Refactor .gitignore, config.py, and wandb scripts, and update requirements.txt