Instructions to use chetan1209/my_mode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chetan1209/my_mode with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("chetan1209/my_mode", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
RoomVision Backend
This backend orchestrates the RoomVision multi-agent workflow using Google Cloud's Agent Development Kit (ADK).
Structure
- agents/: Specialized agents for annotation, design, extraction, and Amazon product search.
- orchestrator/: Orchestrates agent workflow and communication.
- static/: Hosts output images for frontend access.
- uploads/: Stores user-uploaded room images.
- utils/: Helper scripts for image processing, API calls, and logging.
- app.py: Flask entrypoint.
- requirements.txt: Python dependencies.
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