Upload Emu3Pipeline

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model/model.flashpack filter=lfs diff=lfs merge=lfs -text
+vision_tokenizer/model.flashpack filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: diffusers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🧨 diffusers pipeline that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

model/config.json

@@ -0,0 +1,41 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--BAAI--Emu3.5-Image/snapshots/b74c32ba7bb0b37a21a8271f08638b2c573f1ff0",
+  "architectures": [
+    "Emu3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_implementation": "flash_attention_2",
+  "boi_token_id": 151852,
+  "bos_token_id": 151849,
+  "eof_token_id": 151847,
+  "eoi_token_id": 151853,
+  "eol_token_id": 151846,
+  "eos_token_id": 151850,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "image_area": 518400,
+  "img_token_id": 151851,
+  "initializer_range": 0.02,
+  "intermediate_size": 25600,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "Emu3",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 64,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 282926
+}

model/generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 151849,
+  "eos_token_id": 151850,
+  "pad_token_id": 151643,
+  "transformers_version": "4.48.2"
+}

model/model.flashpack

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model_index.json

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+{
+  "_class_name": "Emu3Pipeline",
+  "_diffusers_version": "0.35.2",
+  "model": [
+    "emu3.model",
+    "Emu3ForCausalLM"
+  ],
+  "prompt_template": "<|extra_203|>You are a helpful assistant{for_task}. USER: {question}{image} ASSISTANT: <|extra_100|>",
+  "tokenizer": [
+    "emu3.tokenizer.tokenization_emu3",
+    "Emu3Tokenizer"
+  ],
+  "vision_tokenizer": [
+    "emu3.vision_tokenizer.ibq",
+    "IBQ"
+  ]
+}

tokenizer/special_tokens_map.json

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+{
+  "bos_token": "<|extra_203|>",
+  "eos_token": "<|extra_204|>",
+  "pad_token": "<|endoftext|>"
+}

tokenizer/tokenizer_config.json

@@ -0,0 +1,16 @@
+{
+  "added_tokens_decoder": {},
+  "auto_map": {
+    "AutoTokenizer": [
+      "tokenization_emu3.Emu3Tokenizer",
+      null
+    ]
+  },
+  "bos_token": "<|extra_203|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|extra_204|>",
+  "extra_special_tokens": {},
+  "model_max_length": 1000000000000000000,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "Emu3Tokenizer"
+}

vision_tokenizer/config.json

@@ -0,0 +1,30 @@
+{
+  "_class_name": "IBQ",
+  "_diffusers_version": "0.35.2",
+  "attn_resolutions": [
+    16
+  ],
+  "batch_maximization_weight": 1.0,
+  "beta": 0.25,
+  "ch": 256,
+  "ch_mult": [
+    1,
+    1,
+    2,
+    2,
+    4
+  ],
+  "cosine_similarity": false,
+  "double_z": false,
+  "dropout": 0.0,
+  "embed_dim": 256,
+  "entropy_temperature": 0.01,
+  "in_channels": 3,
+  "n_embed": 131072,
+  "num_res_blocks": 4,
+  "out_ch": 3,
+  "resolution": 256,
+  "sample_minimization_weight": 1.0,
+  "use_entropy_loss": false,
+  "z_channels": 256
+}

vision_tokenizer/model.flashpack

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