Test Save Tiny Stable Diffusion Pipe Smashed Pro

--- license: apache-2.0 tags: - pruna-ai - safetensors - pruna_pro-ai --- # Model Card for pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro 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_pro ``` You can [use the library_name library to load the model](https://huggingface.co/pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro?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_pro import PrunaProModel loaded_model = PrunaProModel.from_pretrained( "pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro" ) # 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 { "adaptive": false, "auto": false, "awq": false, "bottleneck": false, "c_generate": false, "c_translate": false, "c_whisper": false, "custom_schedule": false, "deepcache": false, "diffusers_higgs": false, "diffusers_int8": false, "fastercache": false, "flash_attn3": false, "flux_caching": false, "fora": false, "fp4": false, "fp8": false, "gptq": false, "half": false, "higgs": false, "hqq": false, "hqq_diffusers": false, "hyper": false, "ifw": false, "img2img_denoise": false, "kvpress": false, "llama_cpp": false, "llm_int8": false, "moe_kernel_tuner": false, "pab": false, "padding_pruning": false, "periodic": false, "prores": false, "qkv_diffusers": false, "quanto": false, "radial_attn": false, "realesrgan_upscale": false, "reduce_noe": false, "ring_attn": false, "sage_attn": false, "stable_fast": false, "static_fp8_diffusers": false, "taylor": false, "taylor_auto": false, "text_to_image_distillation_inplace_perp": false, "text_to_image_distillation_lora": false, "text_to...

--- library_name: diffusers tags: - pruna_pro-ai - safetensors - pruna-ai --- # Model Card for pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro 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_pro ``` You can [use the diffusers library to load the model](https://huggingface.co/pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro?library=diffusers) 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_pro import PrunaProModel loaded_model = PrunaProModel.from_pretrained( "pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro" ) # we can then run inference using the methods supported by the base model ``` For inference, you can use the inference methods of the original model like shown in [the original model card](https://huggingface.co/hf-internal-testing/tiny-stable-diffusion-pipe?library=diffusers). 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 { "adaptive": false, "auto": false, "awq": false, "bottleneck": false, "c_generate": false, "c_translate": false, "c_whisper": false, "deepcache": false, "diffusers_higgs": false, "diffusers_int8": false, "fastercache": false, "flash_attn3": false, "flux_caching": false, "fora": false, "fp4": false, "fp8": false, "gptq": false, "half": false, "higgs": false, "hqq": false, "hqq_diffusers": false, "hyper": false, "ifw": false, "img2img_denoise": false, "kvpress": false, "llama_cpp": false, "llm_int8": false, "moe_kernel_tuner": false, "pab": false, "padding_pruning": false, "periodic": false, "prores": false, "qkv_diffusers": false, "quanto": false, "radial_attn": false, "realesrgan_upscale": false, "reduce_noe": false, "ring_attn": false, "sage_attn": false, "stable_fast": false, "ta...

Source context: 469 downloads · 1 likes · Pipeline text-to-image · Library diffusers · Repo pruna-test/test-save-tiny-stable-diffusion-pipe-smashed-pro