initial commit

README.md

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+<p align="center">
+  <img src="assets/generated_logo.jpg"  height=120>
+</p>
+
+### <div align="center">EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models<div> 
+
+---
+
+ This is the official model weights of the model ''Edgen'' trained by EvolveDirector. For more datails, please refer to our paper and code repo.
+
+
+## Setup
+
+### Requirements
+
+1. Build virtual environment for EvolveDirector
+```shell
+# create virtual environment for EvolveDirector
+conda create -n evolvedirector python=3.9
+conda activate evolvedirector
+
+# cd to the path of this repo
+
+# install packages
+pip install --upgrade pip 
+pip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu121
+pip install -r requirements.txt
+pip install -U transformers accelerate diffusers SentencePiece ftfy beautifulsoup4
+```
+
+## Usage
+
+1. Inference
+```shell
+python Inference/inference.py --image_size=1024 \
+    --t5_path "./model" \
+    --tokenizer_path "./model/sd-vae-ft-ema" \
+    --txt_file "text_prompts.txt" \  # put your text prompts in this file 
+    --model_path "model/Edgen_1024px_v1.pth" \
+    --save_folder "output/test_model"
+```
+
+
+## Citation
+
+
+```bibtex
+
+
+```
+
+## Shoutouts
+
+- This code builds heavily on [PixArt-$\alpha$](https://github.com/PixArt-alpha/PixArt-alpha/). Thanks for open-sourcing!

model/Edgen_1024px_v1.pth

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model/sd-vae-ft-ema/config.json

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+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.4.2",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
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+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
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+  "in_channels": 3,
+  "latent_channels": 4,
+  "layers_per_block": 2,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 256,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ]
+}

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model/t5-v1_1-xxl/config.json

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+  "_name_or_path": "google/t5-v1_1-xxl",
+  "architectures": [
+    "T5EncoderModel"
+  ],
+  "d_ff": 10240,
+  "d_kv": 64,
+  "d_model": 4096,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 24,
+  "num_heads": 64,
+  "num_layers": 24,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.1",
+  "use_cache": true,
+  "vocab_size": 32128
+}

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model/t5-v1_1-xxl/spiece.model

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model/t5-v1_1-xxl/tokenizer_config.json

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requirements.txt

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+torch==2.1.1
+torchaudio==2.1.1
+torchvision==0.16.1
+mmcv==1.7.0
+git+https://github.com/huggingface/diffusers
+timm==0.6.12
+accelerate
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+yapf==0.40.1
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+bs4
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+optimum
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