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README.md

@@ -1,7 +1,9 @@
 ---
-library_name: diffusers
+pipeline_tag: text-to-image
 tags:
 - pruna-ai
+- safetensors
+inference: false
 ---
 
 # Model Card for radames/smashed-stabilityai-sd-turbo
@@ -16,19 +18,20 @@ First things first, you need to install the pruna library:
 pip install pruna
 ```
 
-You can [use the diffusers library to load the model](https://huggingface.co/radames/smashed-stabilityai-sd-turbo?library=diffusers) but this might not include all optimizations by default.
+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_hub(
+loaded_model = PrunaModel.from_pretrained(
     "radames/smashed-stabilityai-sd-turbo"
 )
+# we can then run inference using the methods supported by the base model
 ```
 
-After loading the model, you can use the inference methods of the original model. Take a look at the [documentation](https://pruna.readthedocs.io/en/latest/index.html) for more usage information.
+ Alternatively, you can visit [the Pruna documentation](https://docs.pruna.ai/en/stable/) for more information.
 
 ## Smash Configuration
 
@@ -36,15 +39,35 @@ The compression configuration of the model is stored in the `smash_config.json`
 
 ```bash
 {
-    "batcher": null,
-    "cacher": "deepcache",
-    "compiler": "stable_fast",
-    "factorizer": null,
-    "pruner": null,
-    "quantizer": null,
+    "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"
     ],
@@ -52,12 +75,8 @@ The compression configuration of the model is stored in the `smash_config.json`
         "diffusers"
     ],
     "reapply_after_load": {
-        "factorizer": null,
-        "pruner": null,
-        "quantizer": null,
-        "cacher": "deepcache",
-        "compiler": "stable_fast",
-        "batcher": null
+        "deepcache": true,
+        "stable_fast": true
     }
 }
 ```
@@ -67,5 +86,5 @@ The compression configuration of the model is stored in the `smash_config.json`
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 [![GitHub](https://img.shields.io/github/followers/PrunaAI?label=Follow%20%40PrunaAI&style=social)](https://github.com/PrunaAI)
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-[![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.com/invite/rskEr4BZJx)
+[![Discord](https://img.shields.io/badge/Discord-Join%20Us-blue?style=social&logo=discord)](https://discord.gg/JFQmtFKCjd)
 [![Reddit](https://img.shields.io/reddit/subreddit-subscribers/PrunaAI?style=social)](https://www.reddit.com/r/PrunaAI/)

dtype_info.json

@@ -1 +1 @@
-{"dtype": "float32"}
+{"dtype": "float16"}

model_index.json

@@ -1,6 +1,6 @@
 {
-  "_class_name": "StableDiffusionImg2ImgPipeline",
-  "_diffusers_version": "0.33.1",
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.36.0",
   "_name_or_path": "stabilityai/sd-turbo",
   "feature_extractor": [
     null,

scheduler/scheduler_config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "EulerDiscreteScheduler",
-  "_diffusers_version": "0.33.1",
+  "_diffusers_version": "0.36.0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,

smash_config.json

@@ -1,13 +1,33 @@
 {
-    "batcher": null,
-    "cacher": "deepcache",
-    "compiler": "stable_fast",
-    "factorizer": null,
-    "pruner": null,
-    "quantizer": null,
+    "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"
     ],
@@ -15,11 +35,7 @@
         "diffusers"
     ],
     "reapply_after_load": {
-        "factorizer": null,
-        "pruner": null,
-        "quantizer": null,
-        "cacher": "deepcache",
-        "compiler": "stable_fast",
-        "batcher": null
+        "deepcache": true,
+        "stable_fast": true
     }
 }

text_encoder/config.json

@@ -5,6 +5,7 @@
   "attention_dropout": 0.0,
   "bos_token_id": 0,
   "dropout": 0.0,
+  "dtype": "float16",
   "eos_token_id": 2,
   "hidden_act": "gelu",
   "hidden_size": 1024,
@@ -18,7 +19,6 @@
   "num_hidden_layers": 23,
   "pad_token_id": 1,
   "projection_dim": 512,
-  "torch_dtype": "float32",
-  "transformers_version": "4.52.4",
+  "transformers_version": "4.57.3",
   "vocab_size": 49408
 }

text_encoder/model.safetensors

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unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.33.1",
+  "_diffusers_version": "0.36.0",
   "_name_or_path": "/mnt/ssd2/huggingface/hub/models--stabilityai--sd-turbo/snapshots/b261bac6fd2cf515557d5d0707481eafa0485ec2/unet",
   "act_fn": "silu",
   "addition_embed_type": null,

unet/diffusion_pytorch_model.safetensors

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vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.33.1",
+  "_diffusers_version": "0.36.0",
   "_name_or_path": "/mnt/ssd2/huggingface/hub/models--stabilityai--sd-turbo/snapshots/b261bac6fd2cf515557d5d0707481eafa0485ec2/vae",
   "act_fn": "silu",
   "block_out_channels": [

vae/diffusion_pytorch_model.safetensors

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