Update README.md

README.md

@@ -1,12 +1,9 @@
 ---
 license: other
-license_name: flux-1-dev-non-commercial-license
 license_link: LICENSE.md
 library_name: diffusers
 language:
-- en
-base_model:
-- black-forest-labs/FLUX.1-dev
+- enf
 pipeline_tag: text-to-image
 tags:
 - art
@@ -15,32 +12,36 @@ tags:
 ---
 
 <div align="center">
-<h1>🎨 PosterCraft:<br/>Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework</h1>
+<h1>🎨 Imagine:<br/>Words To Visuals</h1>
 
-[![arXiv](https://img.shields.io/badge/arXiv-2506.10741-red)](https://arxiv.org/abs/2506.10741)
-[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/ephemeral182/PosterCraft)
-[![HuggingFace](https://img.shields.io/badge/🤗-HuggingFace-yellow)](https://huggingface.co/PosterCraft)
-[![Website](https://img.shields.io/badge/🌐-Website-green)](https://ephemeral182.github.io/PosterCraft/)
-[![Video](https://img.shields.io/badge/🎥-Live_Demo-purple)](https://www.youtube.com/watch?v=92wMU4D7qx0)
-[![HF Demo](https://img.shields.io/badge/🤗-HF_Demo-orange)](https://huggingface.co/spaces/Ephemeral182/PosterCraft)
+[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue)](https://github.com/skylinemusiccds/Imagine)
+[![HuggingFace](https://img.shields.io/badge/🤗-HuggingFace-yellow)](https://huggingface.co/Satyam-Singh)
+<!--[![Website](https://img.shields.io/badge/🌐-Website-green)](https://skylinemusiccds.github.io/Imagine/)
+[![Video](https://img.shields.io/badge/🎥-Live_Demo-purple)](https://www.youtube.com/watch?v=92wMU4D7qx0)-->
+[![HF Demo](https://img.shields.io/badge/🤗-HF_Demo-orange)](https://huggingface.co/spaces/Satyam-Singh/Imagine)
 
-<img src="assets/logo2.png" alt="PosterCraft Logo" width="1000"/>
+<img src="assets/logo2.png" alt="Imagine Logo" width="1000"/>
 
-<img src="assets/teaser-1.png" alt="PosterCraft Logo" width="1000"/>
+<img src="assets/teaser-1.png" alt="Imagine Logo" width="1000"/>
 
 </div>
 
 ---
 
 
-## 🌟 What is PosterCraft?
+## 🌟 What is Imagine?
 
 <div align="center">
-<img src="assets/demo2.png" alt="What is PosterCraft - Quick Prompt Demo" width="1000"/>
+<img src="assets/demo2.png" alt="What is Imagine - Quick Prompt Demo" width="1000"/>
 <br>
 </div>
 
-PosterCraft is a unified framework for **high-quality aesthetic poster generation** that excels in **precise text rendering**, **seamless integration of abstract art**, **striking layouts**, and **stylistic harmony**.
+**Imagine** is an all-in-one framework for creating **visually stunning posters**, blending:
+
+- **Precise and accurate text rendering**
+- **Seamless integration of abstract art**
+- **Bold, eye-catching layouts**
+- **A cohesive and harmonious visual style**
 
 
 ## 🚀 Quick Start
@@ -49,12 +50,12 @@ PosterCraft is a unified framework for **high-quality aesthetic poster generatio
 
 ```bash
 # Clone the repository
-git clone https://github.com/ephemeral182/PosterCraft.git
-cd PosterCraft
+git clone https://github.com/skylinemusiccds/Imagine.git
+cd Imagine
 
 # Create conda environment
-conda create -n postercraft python=3.11
-conda activate postercraft
+conda create -n imagine python=3.11
+conda activate imagine
 
 # Install dependencies
 pip install -r requirements.txt
@@ -63,9 +64,11 @@ pip install -r requirements.txt
 
 ### 🚀 Easy Usage
 
-PosterCraft is designed as a unified and flexible framework. This makes it easy to use PosterCraft within your own custom workflows or other compatible frameworks.
+**Imagine** offers a **modular and adaptable framework** that seamlessly fits into custom workflows or interoperates with other compatible systems. Its design prioritizes ease of use and flexibility, making integration effortless.
+
+
+Loading the model is quick and intuitive:
 
-Loading the model is straightforward:
 
 ```python
 import torch
@@ -73,16 +76,16 @@ from diffusers import FluxPipeline, FluxTransformer2DModel
 
 # 1. Define model IDs and settings
 pipeline_id = "black-forest-labs/FLUX.1-dev"
-postercraft_transformer_id = "PosterCraft/PosterCraft-v1_RL" 
+imagine_transformer_id = "Satyam-Singh/Imagine" 
 device = "cuda"
 dtype = torch.bfloat16
 
 # 2. Load the base pipeline
 pipe = FluxPipeline.from_pretrained(pipeline_id, torch_dtype=dtype)
 
-# 3. The key step: simply replace the original transformer with our fine-tuned PosterCraft model
+# 3. The key step: simply replace the original transformer with our Imagine model
 pipe.transformer = FluxTransformer2DModel.from_pretrained(
-    postercraft_transformer_id, 
+    imagine_transformer_id, 
     torch_dtype=dtype
 )
 pipe.to(device)
@@ -93,19 +96,23 @@ pipe.to(device)
 
 ### 🚀 Quick Generation
 
-For the best results and to leverage our intelligent prompt rewriting feature, we recommend using the provided `inference.py` script. This script automatically enhances your creative ideas for optimal results.
+For the best results, we recommend using the provided `inference.py` script, which includes our **intelligent prompt rewriting** feature. This enhancement automatically refines your input to generate more compelling and visually stunning results.
+
+### Generate Posters with Precision
+
+Create **high-quality aesthetic posters** from your prompt using `BF16` precision for improved performance and efficiency.
 
-Generate high-quality aesthetic posters from your prompt with `BF16` precision, please refer to our [GitHub repository](https://github.com/Ephemeral182/PosterCraft) :
+👉 Get started by visiting our [GitHub repository](https://github.com/skylinemusiccds/Imagine).
 
 ```bash
 python inference.py \
-  --prompt "Urban Canvas Street Art Expo poster with bold graffiti-style lettering and dynamic colorful splashes" \
+  --prompt "Urban Canvas Street Art Expo poster with bold graffiti lettering and vibrant, dynamic color splashes capturing the energy of street art." \
   --enable_recap \
   --num_inference_steps 28 \
   --guidance_scale 3.5 \
   --seed 42 \
   --pipeline_path "black-forest-labs/FLUX.1-dev" \
-  --custom_transformer_path "PosterCraft/PosterCraft-v1_RL" \
+  --custom_transformer_path "Satyam-Singh/Imagine" \
   --qwen_model_path "Qwen/Qwen3-8B"
 ```
 
@@ -113,20 +120,20 @@ If you are running on a GPU with limited memory, you can use `inference_offload.
 
 ```bash
 python inference_offload.py \
-  --prompt "Urban Canvas Street Art Expo poster with bold graffiti-style lettering and dynamic colorful splashes" \
+  --prompt "Urban Canvas Street Art Expo poster with bold graffiti lettering and vibrant, dynamic color splashes capturing the energy of street art." \
   --enable_recap \
   --num_inference_steps 28 \
   --guidance_scale 3.5 \
   --seed 42 \
   --pipeline_path "black-forest-labs/FLUX.1-dev" \
-  --custom_transformer_path "PosterCraft/PosterCraft-v1_RL" \
+  --custom_transformer_path "Satyam-Singh/Imagine" \
   --qwen_model_path "Qwen/Qwen3-8B"
 ```
 
 
 ### 💻 Gradio Web UI
 
-We provide a Gradio web UI for PosterCraft, please refer to our [GitHub repository](https://github.com/Ephemeral182/PosterCraft). 
+We provide a Gradio web UI for Imagine, please refer to our [GitHub repository](https://github.com/skylinemusiccds/Imagine). 
 
 ```bash
 python demo_gradio.py
@@ -192,7 +199,7 @@ python demo_gradio.py
     <td>0.746</td>
   </tr>
   <tr>
-    <td style="white-space: nowrap;"><b>PosterCraft (ours)</b></td>
+    <td style="white-space: nowrap;"><b>Imagine (ours)</b></td>
     <td><b>0.787</b></td>
     <td><b>0.774</b></td>
     <td><b>0.735</b></td>
@@ -210,13 +217,12 @@ python demo_gradio.py
 
 ## 📝 Citation
 
-If you find PosterCraft useful for your research, please cite our paper:
+If you find Imagine useful for your research, please cite our paper:
 
 ```bibtex
-@article{chen2025postercraft,
-  title={PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework},
-  author={Chen, Sixiang and Lai, Jianyu and Gao, Jialin and Ye, Tian and Chen, Haoyu and Shi, Hengyu and Shao, Shitong and Lin, Yunlong and Fei, Song and Xing, Zhaohu and Jin, Yeying and Luo, Junfeng and Wei, Xiaoming and Zhu, Lei},
-  journal={arXiv preprint arXiv:2506.10741},
+@article{LLaVA : !magine,
+  title={LLaVA Imagine: Words to Visuals},
+  author={Satyam Singh, UniVerse Ai},
   year={2025}
 }
 ```