Upload folder using huggingface_hub (#5)

- 47fc3186d3b0543fa4348aacb6965bb5c05a5677042df342751d90dda0bac059 (e9e009f766e0757aff021988d548d0fadc5d0519)
- 018d134284c028eb737f6ad8a9c33131aa327c2841fe930694ae9e0d134df9b5 (12aae16250f5e9cea5c04a075e61ac95110f3ddf)

README.md

@@ -48,7 +48,7 @@ You can run the smashed model with these steps:
 0. Check cuda, torch, packaging requirements are installed. For cuda, check with `nvcc --version` and install with `conda install nvidia/label/cuda-12.1.0::cuda`. For packaging and torch, run `pip install packaging torch`.
 1. Install the `pruna-engine` available [here](https://pypi.org/project/pruna-engine/) on Pypi. It might take 15 minutes to install.
     ```bash
-   pip install pruna-engine[gpu] --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://prunaai.pythonanywhere.com/
+   pip install pruna-engine[gpu]==0.6.0 --extra-index-url https://pypi.nvidia.com --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://prunaai.pythonanywhere.com/
     ```
 3. Download the model files using one of these three options. 
    - Option 1 - Use command line interface (CLI):

config.json

@@ -1 +1 @@
-{"pruners": "None", "pruning_ratio": "None", "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.0, "compilers": "['step_caching', 'tiling', 'diffusers2']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "batch_size": 1, "max_batch_size": 1, "image_height": 768, "image_width": 768, "version": "2.1", "task": "txt2img", "weight_name": "None", "model_name": "stabilityai/stable-diffusion-2-1", "save_load_fn": "stable_fast"}
+{"pruners": "None", "pruning_ratio": 0.0, "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.005, "compilers": "['diffusers2', 'tiling', 'step_caching']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "batch_size": 1, "max_batch_size": 1, "image_height": 768, "image_width": 768, "version": "2.1", "task": "txt2img", "model_name": "stabilityai/stable-diffusion-2-1", "weight_name": "None", "save_load_fn": "stable_fast"}

model/optimized_model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6ceb791b121b21323acef0db6e5b5f5d48aee9b8de8f3118953c1983443971d9
-size 2582665763
+oid sha256:8a2c72f00672d5d6beaa12909fd98b4832150aa63529aee777f94e0b3340da22
+size 2582665404

model/smash_config.json

@@ -1 +1 @@
-{"api_key": "pruna_c4c77860c62a2965f6bc281841ee1d7bd3", "verify_url": "http://johnrachwan.pythonanywhere.com", "smash_config": {"pruners": "None", "pruning_ratio": "None", "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.0, "compilers": "['step_caching', 'tiling', 'diffusers2']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "cache_dir": ".models/optimized_model", "batch_size": 1, "max_batch_size": 1, "image_height": 768, "image_width": 768, "version": "2.1", "task": "txt2img", "weight_name": "None", "model_name": "stabilityai/stable-diffusion-2-1", "save_load_fn": "stable_fast"}}
+{"api_key": "pruna_c4c77860c62a2965f6bc281841ee1d7bd3", "verify_url": "http://johnrachwan.pythonanywhere.com", "smash_config": {"pruners": "None", "pruning_ratio": 0.0, "factorizers": "None", "quantizers": "None", "n_quantization_bits": 32, "output_deviation": 0.005, "compilers": "['diffusers2', 'tiling', 'step_caching']", "static_batch": true, "static_shape": false, "controlnet": "None", "unet_dim": 4, "device": "cuda", "cache_dir": ".models/optimized_model", "batch_size": 1, "max_batch_size": 1, "image_height": 768, "image_width": 768, "version": "2.1", "task": "txt2img", "model_name": "stabilityai/stable-diffusion-2-1", "weight_name": "None", "save_load_fn": "stable_fast"}}