Add files using upload-large-folder tool

README.md

@@ -0,0 +1,119 @@
+---
+datasets:
+- zzliang/GRIT
+- wanng/midjourney-v5-202304-clean
+library_name: diffusers
+license: apache-2.0
+tags:
+- pruna-ai
+- safetensors
+pinned: true
+---
+
+# Model Card for PrunaAI/Segmind-Vega-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.
+
+## Usage
+
+First things first, you need to install the pruna library:
+
+```bash
+pip install pruna
+```
+
+You can [use the diffusers library to load the model](https://huggingface.co/PrunaAI/Segmind-Vega-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:
+
+```python
+from pruna import PrunaModel
+
+loaded_model = PrunaModel.from_pretrained(
+    "PrunaAI/Segmind-Vega-smashed"
+)
+# 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/segmind/Segmind-Vega?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
+{
+    "awq": false,
+    "c_generate": false,
+    "c_translate": false,
+    "c_whisper": false,
+    "deepcache": false,
+    "diffusers_int8": false,
+    "fastercache": false,
+    "flash_attn3": false,
+    "fora": false,
+    "gptq": false,
+    "half": false,
+    "hqq": false,
+    "hqq_diffusers": true,
+    "hyper": false,
+    "ifw": false,
+    "img2img_denoise": false,
+    "ipex_llm": false,
+    "llm_int8": 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,
+    "torch_compile": false,
+    "torch_dynamic": false,
+    "torch_structured": false,
+    "torch_unstructured": false,
+    "torchao": false,
+    "whisper_s2t": false,
+    "x_fast": false,
+    "zipar": false,
+    "hqq_diffusers_backend": "torchao_int4",
+    "hqq_diffusers_group_size": 64,
+    "hqq_diffusers_target_modules": null,
+    "hqq_diffusers_weight_bits": 8,
+    "batch_size": 1,
+    "device": "cuda:0",
+    "device_map": null,
+    "save_fns": [
+        "hqq_diffusers"
+    ],
+    "save_artifacts_fns": [],
+    "load_fns": [
+        "hqq_diffusers"
+    ],
+    "load_artifacts_fns": [],
+    "reapply_after_load": {
+        "hqq_diffusers": false
+    }
+}
+```
+
+## 🌍 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": "float32"}

model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.37.1",
+  "_name_or_path": "segmind/Segmind-Vega",
+  "feature_extractor": [
+    null,
+    null
+  ],
+  "force_zeros_for_empty_prompt": true,
+  "image_encoder": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    null,
+    null
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "EulerDiscreteScheduler",
+  "_diffusers_version": "0.37.1",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "final_sigmas_type": "zero",
+  "interpolation_type": "linear",
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
+  "sample_max_value": 1.0,
+  "set_alpha_to_one": false,
+  "sigma_max": null,
+  "sigma_min": null,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "timestep_type": "discrete",
+  "trained_betas": null,
+  "use_beta_sigmas": false,
+  "use_exponential_sigmas": false,
+  "use_karras_sigmas": false
+}

smash_config.json

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+{
+    "awq": false,
+    "c_generate": false,
+    "c_translate": false,
+    "c_whisper": false,
+    "deepcache": false,
+    "diffusers_int8": false,
+    "fastercache": false,
+    "flash_attn3": false,
+    "fora": false,
+    "gptq": false,
+    "half": false,
+    "hqq": false,
+    "hqq_diffusers": true,
+    "hyper": false,
+    "ifw": false,
+    "img2img_denoise": false,
+    "ipex_llm": false,
+    "llm_int8": 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,
+    "torch_compile": false,
+    "torch_dynamic": false,
+    "torch_structured": false,
+    "torch_unstructured": false,
+    "torchao": false,
+    "whisper_s2t": false,
+    "x_fast": false,
+    "zipar": false,
+    "hqq_diffusers_backend": "torchao_int4",
+    "hqq_diffusers_group_size": 64,
+    "hqq_diffusers_target_modules": null,
+    "hqq_diffusers_weight_bits": 8,
+    "batch_size": 1,
+    "device": "cuda:0",
+    "device_map": null,
+    "save_fns": [
+        "hqq_diffusers"
+    ],
+    "save_artifacts_fns": [],
+    "load_fns": [
+        "hqq_diffusers"
+    ],
+    "load_artifacts_fns": [],
+    "reapply_after_load": {
+        "hqq_diffusers": false
+    }
+}

text_encoder/config.json

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+{
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "quick_gelu",
+  "hidden_size": 768,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "transformers_version": "4.57.6",
+  "vocab_size": 49408
+}

text_encoder/model.safetensors

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text_encoder_2/config.json

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+{
+  "architectures": [
+    "CLIPTextModelWithProjection"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "dropout": 0.0,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_size": 1280,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 5120,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 32,
+  "pad_token_id": 1,
+  "projection_dim": 1280,
+  "transformers_version": "4.57.6",
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tokenizer/special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
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+    "lstrip": false,
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+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer/tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+      "content": "<|startoftext|>",
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "do_lower_case": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 77,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_2/special_tokens_map.json

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+{
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+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
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+}

tokenizer_2/tokenizer_config.json

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+{
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+      "special": true
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+  "pad_token": "!",
+  "tokenizer_class": "CLIPTokenizer",
+  "unk_token": "<|endoftext|>"
+}

unet_quantized/config.json

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+{
+  "_class_name": "UNet2DConditionModel",
+  "_diffusers_version": "0.37.1",
+  "_name_or_path": "/root/.cache/huggingface/hub/models--segmind--Segmind-Vega/snapshots/7714c4363e5856ff974a4f4b068e8691f26d0b40/unet",
+  "act_fn": "silu",
+  "addition_embed_type": "text_time",
+  "addition_embed_type_num_heads": 64,
+  "addition_time_embed_dim": 256,
+  "attention_head_dim": [
+    5,
+    10,
+    20
+  ],
+  "attention_type": "default",
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+    640,
+    1280
+  ],
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+  "class_embeddings_concat": false,
+  "conv_in_kernel": 3,
+  "conv_out_kernel": 3,
+  "cross_attention_dim": 2048,
+  "cross_attention_norm": null,
+  "down_block_types": [
+    "DownBlock2D",
+    "CrossAttnDownBlock2D",
+    "CrossAttnDownBlock2D"
+  ],
+  "downsample_padding": 1,
+  "dropout": 0.0,
+  "dual_cross_attention": false,
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+  "num_class_embeds": null,
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+  "projection_class_embeddings_input_dim": 2816,
+  "resnet_out_scale_factor": 1.0,
+  "resnet_skip_time_act": false,
+  "resnet_time_scale_shift": "default",
+  "reverse_transformer_layers_per_block": null,
+  "sample_size": 128,
+  "time_cond_proj_dim": null,
+  "time_embedding_act_fn": null,
+  "time_embedding_dim": null,
+  "time_embedding_type": "positional",
+  "timestep_post_act": null,
+  "transformer_layers_per_block": [
+    1,
+    1,
+    2
+  ],
+  "up_block_types": [
+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D",
+    "UpBlock2D"
+  ],
+  "upcast_attention": null,
+  "use_linear_projection": true
+}

unet_quantized/hqq_missed_parameters.pt

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vae/config.json

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+  "_diffusers_version": "0.37.1",
+  "_name_or_path": "/root/.cache/huggingface/hub/models--segmind--Segmind-Vega/snapshots/7714c4363e5856ff974a4f4b068e8691f26d0b40/vae",
+  "act_fn": "silu",
+  "block_out_channels": [
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+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": true,
+  "in_channels": 3,
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+  "latents_mean": null,
+  "latents_std": null,
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+  "mid_block_add_attention": true,
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+  "sample_size": 1024,
+  "scaling_factor": 0.13025,
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+  "up_block_types": [
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+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
+}

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