| --- |
| tags: |
| - text-to-image |
| - diffusion |
| - latent-diffusion |
| - pytorch |
| license: apache-2.0 |
| --- |
| |
| # NanoDiffusion-46M |
| A ~46M parameter UNet trained from scratch for text-to-image generation |
| in latent space (SD VAE + CLIP text encoder, both frozen). |
|
|
| **Dataset:** [BitTranslate/Bittensor_subnet_19_06_04_24](https://huggingface.co/datasets/BitTranslate/Bittensor_subnet_19_06_04_24) |
| **Trained steps:** 500 |
| **Image size:** 256px → 32×32 latents |
|
|
| ## Architecture |
|
|
| - **UNet base channels:** 128 |
| - **Channel multipliers:** (1, 2, 3, 4) |
| - **Res blocks per level:** 2 |
| - **Cross-attention (text conditioning):** latent res (8,) |
| - **VAE (frozen):** `runwayml/stable-diffusion-v1-5` vae subfolder |
| - **Text encoder (frozen):** CLIP ViT-L/14 from `runwayml/stable-diffusion-v1-5` |
