---
language:
- en
license: apache-2.0
pipeline_tag: image-to-image
tags:
- pruna-ai
- safetensors
---

# Model Card for PrunaAI/flux2-klein-4b-optimized-smashed

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/PrunaAI/flux2-klein-4b-optimized-smashed?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(
    "PrunaAI/flux2-klein-4b-optimized-smashed"
)
# 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": false,
    "diffusers_int8": false,
    "fastercache": false,
    "flash_attn3": false,
    "fora": true,
    "gptq": false,
    "half": false,
    "hqq": false,
    "hqq_diffusers": false,
    "hyper": false,
    "ifw": false,
    "img2img_denoise": false,
    "ipex_llm": false,
    "llm_int8": false,
    "moe_kernel_tuner": false,
    "pab": false,
    "padding_pruning": false,
    "qkv_diffusers": false,
    "quanto": false,
    "realesrgan_upscale": false,
    "reduce_noe": false,
    "ring_attn": false,
    "sage_attn": false,
    "stable_fast": false,
    "text_to_image_distillation_inplace_perp": false,
    "text_to_image_distillation_lora": false,
    "text_to_image_distillation_perp": false,
    "text_to_image_inplace_perp": false,
    "text_to_image_lora": false,
    "text_to_image_perp": false,
    "text_to_text_inplace_perp": false,
    "text_to_text_lora": false,
    "text_to_text_perp": false,
    "torch_compile": true,
    "torch_dynamic": false,
    "torch_structured": false,
    "torch_unstructured": false,
    "torchao": true,
    "whisper_s2t": false,
    "x_fast": false,
    "zipar": false,
    "fora_backbone_calls_per_step": 2,
    "fora_interval": 3,
    "fora_start_step": 4,
    "torch_compile_backend": "inductor",
    "torch_compile_dynamic": null,
    "torch_compile_fullgraph": false,
    "torch_compile_make_portable": false,
    "torch_compile_max_kv_cache_size": 400,
    "torch_compile_mode": "default",
    "torch_compile_seqlen_manual_cuda_graph": 100,
    "torch_compile_target": "model",
    "torchao_excluded_modules": "none",
    "torchao_quant_type": "fp8wo",
    "torchao_target_modules": {
        "include": [
            "*single_transformer_blocks.*"
        ],
        "exclude": [
            "pe_embedder",
            "*norm*",
            "*embed*"
        ]
    },
    "batch_size": 1,
    "device": "cuda",
    "device_map": null,
    "save_fns": [
        "save_before_apply",
        "save_before_apply"
    ],
    "save_artifacts_fns": [],
    "load_fns": [
        "diffusers"
    ],
    "load_artifacts_fns": [],
    "reapply_after_load": {
        "torchao": true,
        "fora": true,
        "torch_compile": true
    }
}
```

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