README.md

---
pipeline_tag: text-to-image
tags:
- safetensors
- pruna-ai
inference: false
---

# Model Card for radames/smashed-stabilityai-sd-turbo

This model was created using the [pruna](https://github.com/PrunaAI/pruna) library. Pruna is a model optimization framework built for developers, enabling you to deliver more efficient models with minimal implementation overhead.

## Usage

First things first, you need to install the pruna library:

```bash
pip install pruna
```

You can [use the library_name library to load the model](https://huggingface.co/radames/smashed-stabilityai-sd-turbo?library=library_name) but this might not include all optimizations by default.

To ensure that all optimizations are applied, use the pruna library to load the model using the following code:

```python
from pruna import PrunaModel

loaded_model = PrunaModel.from_pretrained(
    "radames/smashed-stabilityai-sd-turbo"
)
# we can then run inference using the methods supported by the base model
```

 Alternatively, you can visit [the Pruna documentation](https://docs.pruna.ai/en/stable/) for more information.

## Smash Configuration

The compression configuration of the model is stored in the `smash_config.json` file, which describes the optimization methods that were applied to the model.

```bash
{
    "awq": false,
    "c_generate": false,
    "c_translate": false,
    "c_whisper": false,
    "deepcache": true,
    "diffusers_int8": false,
    "fastercache": false,
    "flash_attn3": false,
    "fora": false,
    "gptq": false,
    "half": false,
    "hqq": false,
    "hqq_diffusers": false,
    "ifw": false,
    "llm_int8": false,
    "pab": false,
    "qkv_diffusers": false,
    "quanto": false,
    "stable_fast": true,
    "torch_compile": false,
    "torch_dynamic": false,
    "torch_structured": false,
    "torch_unstructured": false,
    "torchao": false,
    "whisper_s2t": false,
    "deepcache_interval": 2,
    "batch_size": 1,
    "device": "cuda",
    "device_map": null,
    "save_fns": [
        "save_before_apply"
    ],
    "load_fns": [
        "diffusers"
    ],
    "reapply_after_load": {
        "deepcache": true,
        "stable_fast": true
    }
}
```

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