---
license: mit
tags:
  - tiny-stable-diffusion
  - diffusion
  - image-generation
  - diffusion
library_name: pytorch
---

# tiny-sd-models

This is a **DIFFUSION** model trained with [tiny-stable-diffusion](https://github.com/your-username/tiny-stable-diffusion).

## Model Description

This is a Diffusion Transformer (DiT/MMDiT) trained for text-to-image generation in latent space.

### Architecture
- **Type**: DiT or MMDiT (Multi-Modal Diffusion Transformer)
- **Conditioning**: CLIP text embeddings

## Usage

```python
import torch
from src.models.vae import create_vae  # or appropriate model import

# Load checkpoint
checkpoint = torch.load("model.pt", map_location="cpu")

# Create model and load weights
model = create_model(...)  # Use config from checkpoint
model.load_state_dict(checkpoint["model_state_dict"])
```

## License

MIT License