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README.md

@@ -4,7 +4,7 @@ tags:
 - pruna-ai
 ---
 
-# Model Card for PrunaAI/test-tiny-stable-diffusion-pipe-smashed
+# Model Card for PrunaAI/test-load-tiny-stable-diffusion-pipe-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.
 
@@ -16,7 +16,7 @@ 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/PrunaAI/test-tiny-stable-diffusion-pipe-smashed?library=diffusers) but this might not include all optimizations by default.
+You can [use the diffusers library to load the model](https://huggingface.co/PrunaAI/test-load-tiny-stable-diffusion-pipe-smashed?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:
 
@@ -24,7 +24,7 @@ To ensure that all optimizations are applied, use the pruna library to load the
 from pruna import PrunaModel
 
 loaded_model = PrunaModel.from_hub(
-    "PrunaAI/test-tiny-stable-diffusion-pipe-smashed"
+    "PrunaAI/test-load-tiny-stable-diffusion-pipe-smashed"
 )
 ```
 
@@ -39,6 +39,7 @@ The compression configuration of the model is stored in the `smash_config.json`
     "batcher": null,
     "cacher": null,
     "compiler": null,
+    "factorizer": null,
     "pruner": null,
     "quantizer": null,
     "batch_size": 1,
@@ -48,6 +49,7 @@ The compression configuration of the model is stored in the `smash_config.json`
         "diffusers"
     ],
     "reapply_after_load": {
+        "factorizer": null,
         "pruner": null,
         "quantizer": null,
         "cacher": null,

model_index.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.34.0.dev0",
+  "_diffusers_version": "0.33.1",
   "_name_or_path": "hf-internal-testing/tiny-stable-diffusion-pipe",
   "feature_extractor": [
     "transformers",

safety_checker/config.json

@@ -27,9 +27,8 @@
     "vocab_size": 99
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.51.3",
+  "transformers_version": "4.52.4",
   "vision_config": {
-    "_attn_implementation_autoset": true,
     "attention_dropout": 0.1,
     "dropout": 0.1,
     "gradient_checkpointing": false,

scheduler/scheduler_config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "DDIMScheduler",
-  "_diffusers_version": "0.34.0.dev0",
+  "_diffusers_version": "0.33.1",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,

smash_config.json

@@ -2,6 +2,7 @@
     "batcher": null,
     "cacher": null,
     "compiler": null,
+    "factorizer": null,
     "pruner": null,
     "quantizer": null,
     "batch_size": 1,
@@ -11,6 +12,7 @@
         "diffusers"
     ],
     "reapply_after_load": {
+        "factorizer": null,
         "pruner": null,
         "quantizer": null,
         "cacher": null,

text_encoder/config.json

@@ -19,6 +19,6 @@
   "pad_token_id": 1,
   "projection_dim": 512,
   "torch_dtype": "float32",
-  "transformers_version": "4.51.3",
+  "transformers_version": "4.52.4",
   "vocab_size": 1000
 }

unet/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.34.0.dev0",
+  "_diffusers_version": "0.33.1",
   "_name_or_path": "/Users/davidberenstein/.cache/huggingface/hub/models--hf-internal-testing--tiny-stable-diffusion-pipe/snapshots/3ee6c9f225f088ad5d35b624b6514b091e6a4849/unet",
   "act_fn": "silu",
   "addition_embed_type": null,

vae/config.json

@@ -1,6 +1,6 @@
 {
   "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.34.0.dev0",
+  "_diffusers_version": "0.33.1",
   "_name_or_path": "/Users/davidberenstein/.cache/huggingface/hub/models--hf-internal-testing--tiny-stable-diffusion-pipe/snapshots/3ee6c9f225f088ad5d35b624b6514b091e6a4849/vae",
   "act_fn": "silu",
   "block_out_channels": [