Add files using upload-large-folder tool

README.md

@@ -1,21 +1,132 @@
 ---
-base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
+license: creativeml-openrail-m
 tags:
-- text-generation-inference
-- transformers
-- unsloth
-- qwen3
-license: apache-2.0
-language:
-- en
+- safetensors
+- pruna-ai
+widget:
+- text: A high tech solarpunk utopia in the Amazon rainforest
+  example_title: Amazon rainforest
+- text: A pikachu fine dining with a view to the Eiffel Tower
+  example_title: Pikachu in Paris
+- text: A mecha robot in a favela in expressionist style
+  example_title: Expressionist robot
+- text: an insect robot preparing a delicious meal
+  example_title: Insect robot
+- text: A small cabin on top of a snowy mountain in the style of Disney, artstation
+  example_title: Snowy disney cabin
+extra_gated_prompt: "This model is open access and available to all, with a CreativeML\
+  \ OpenRAIL-M license further specifying rights and usage.\nThe CreativeML OpenRAIL\
+  \ License specifies: \n\n1. You can't use the model to deliberately produce nor\
+  \ share illegal or harmful outputs or content \n2. The authors claim no rights on\
+  \ the outputs you generate, you are free to use them and are accountable for their\
+  \ use which must not go against the provisions set in the license\n3. You may re-distribute\
+  \ the weights and use the model commercially and/or as a service. If you do, please\
+  \ be aware you have to include the same use restrictions as the ones in the license\
+  \ and share a copy of the CreativeML OpenRAIL-M to all your users (please read the\
+  \ license entirely and carefully)\nPlease read the full license carefully here:\
+  \ https://huggingface.co/spaces/CompVis/stable-diffusion-license\n    "
+extra_gated_heading: Please read the LICENSE to access this model
 ---
 
-# Uploaded finetuned  model
+# Model Card for TensorVizion/StableDiffusion-1.4-Pruned
 
-- **Developed by:** TensorVizion
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/qwen3-14b-unsloth-bnb-4bit
+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.
 
-This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Usage
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+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/TensorVizion/StableDiffusion-1.4-Pruned?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(
+    "TensorVizion/StableDiffusion-1.4-Pruned"
+)
+# 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": true,
+    "diffusers_int8": false,
+    "fastercache": false,
+    "flash_attn3": false,
+    "fora": false,
+    "gptq": false,
+    "half": 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,
+    "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,
+    "token_merging": false,
+    "torch_compile": false,
+    "torch_dynamic": false,
+    "torch_structured": false,
+    "torch_unstructured": false,
+    "torchao": false,
+    "x_fast": false,
+    "zipar": false,
+    "deepcache_interval": 2,
+    "batch_size": 1,
+    "device": "cuda",
+    "device_map": null,
+    "save_fns": [],
+    "save_artifacts_fns": [],
+    "load_fns": [
+        "diffusers"
+    ],
+    "load_artifacts_fns": [],
+    "reapply_after_load": {
+        "deepcache": true
+    }
+}
+```
+
+## 🌍 Join the Pruna AI community!
+
+[![Twitter](https://img.shields.io/twitter/follow/PrunaAI?style=social)](https://twitter.com/PrunaAI)
+[![GitHub](https://img.shields.io/github/followers/PrunaAI?label=Follow%20%40PrunaAI&style=social)](https://github.com/PrunaAI)
+[![LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue)](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following)
+[![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

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+{"dtype": "float16"}

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.39.0",
+  "_name_or_path": "CompVis/stable-diffusion-v1-4",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "image_encoder": [
+    null,
+    null
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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+{
+  "architectures": [
+    "StableDiffusionSafetyChecker"
+  ],
+  "dtype": "float16",
+  "initializer_factor": 1.0,
+  "logit_scale_init_value": 2.6592,
+  "model_type": "clip",
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+    "initializer_factor": 1.0,
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "layer_norm_eps": 1e-05,
+    "max_position_embeddings": 77,
+    "model_type": "clip_text_model",
+    "num_attention_heads": 12,
+    "num_hidden_layers": 12,
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+    "pruned_heads": {},
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+    "image_size": 224,
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+    "intermediate_size": 4096,
+    "is_decoder": false,
+    "layer_norm_eps": 1e-05,
+    "model_type": "clip_vision_model",
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+    "num_channels": 3,
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+    "patch_size": 14,
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+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "torchscript": false,
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+  }
+}

safety_checker/model.safetensors

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scheduler/scheduler_config.json

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+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "trained_betas": null
+}

smash_config.json

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+{
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+    "c_generate": false,
+    "c_translate": false,
+    "c_whisper": false,
+    "deepcache": true,
+    "diffusers_int8": false,
+    "fastercache": false,
+    "flash_attn3": false,
+    "fora": false,
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+    "half": false,
+    "hqq": false,
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+    "hyper": false,
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+    "kvpress": false,
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+    "llm_int8": false,
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+    "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,
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+    "reapply_after_load": {
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+}

text_encoder/config.json

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+  ],
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+  "hidden_act": "quick_gelu",
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+  "initializer_factor": 1.0,
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+  "model_type": "clip_text_model",
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+  "projection_dim": 512,
+  "transformers_version": "5.13.1",
+  "vocab_size": 49408
+}

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tokenizer/tokenizer_config.json

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+  "do_lower_case": true,
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+  "unk_token": "<|endoftext|>"
+}

unet/config.json

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+  "_diffusers_version": "0.39.0",
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+  "resnet_time_scale_shift": "default",
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+  "use_linear_projection": false
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vae/config.json

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