fix: full renaming

.gitattributes

@@ -36,10 +36,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 assets/latency_t2i_1k_2k.png filter=lfs diff=lfs merge=lfs -text
 assets/download-1.png filter=lfs diff=lfs merge=lfs -text
 assets/edit_grid.jpg filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Q-Image-2.1-i2i-1024.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Q-Image-2.1-i2i-2048.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Q-Image-2.1-t2i-1024.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Q-Image-2.1-t2i-2048.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Q-Image-2.1.png filter=lfs diff=lfs merge=lfs -text
+assets/P-Q-Image-2.1-i2i-1024.png filter=lfs diff=lfs merge=lfs -text
+assets/P-Q-Image-2.1-i2i-2048.png filter=lfs diff=lfs merge=lfs -text
+assets/P-Q-Image-2.1-t2i-1024.png filter=lfs diff=lfs merge=lfs -text
+assets/P-Q-Image-2.1-t2i-2048.png filter=lfs diff=lfs merge=lfs -text
+assets/P-Q-Image-2.1.png filter=lfs diff=lfs merge=lfs -text
 assets/*.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Qwen-Image-2.1.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -16,7 +16,7 @@ tags:
 <!-- header start -->
 <!-- 200823 -->
 <p align="center">
-  <img src="assets/Pruna-Q-Image-2.1.png" width="800">
+  <img src="assets/P-Q-Image-2.1.png" width="800">
 </p>
 <!-- header end -->
 
@@ -43,7 +43,7 @@ tags:
 </p>
 <div align="center">
 
-<h1 style="color: #9334E9;">⚡ Pruna-Q-Image-2.1</h1>
+<h1 style="color: #9334E9;">⚡ P-Q-Image-2.1</h1>
 
 <h2>Few-step LoRA adapters for Qwen-Image-2.1</h2>
 
@@ -59,7 +59,7 @@ tags:
 
 </div>
 
-**Pruna-Q-Image-2.1** is a set of LoRA adapters that let
+**P-Q-Image-2.1** is a set of LoRA adapters that let
 [`Qwen/Qwen-Image-2.1`](https://huggingface.co/Qwen/Qwen-Image-2.1) generate
 and edit images in only 6 steps (v0.2), or 5 or 8 steps (v0.1). The adapters load on top of the base
 model, so the pipeline, text encoder, and VAE stay unchanged.
@@ -156,7 +156,7 @@ pipe = QwenImage21Pipeline.from_pretrained(
     "Qwen/Qwen-Image-2.1", torch_dtype=torch.bfloat16
 ).to("cuda")
 pipe.load_lora_weights(
-    "PrunaAI/Pruna-Q-Image-2.1",
+    "PrunaAI/P-Q-Image-2.1",
     weight_name=WEIGHT_NAME,
 )
 
@@ -171,7 +171,7 @@ pipe.scheduler = FlowMatchEulerDiscreteScheduler.from_config(
 Both variants load on **`Qwen/Qwen-Image-2.1`** using **`QwenImage21Pipeline`**.
 Choose one LoRA with `VARIANT`; the `6-steps-upsampled` variant runs directly on your
 original prompt without a separate prompt-enhancer model. For a local export,
-replace `"PrunaAI/Pruna-Q-Image-2.1"` with the folder containing the chosen
+replace `"PrunaAI/P-Q-Image-2.1"` with the folder containing the chosen
 safetensors file and keep `weight_name=WEIGHT_NAME`.
 
 Both files have **rank 64** across **232 linear targets**, including `proj_out`.
@@ -201,7 +201,7 @@ pipe = QwenImage21Pipeline.from_pretrained(
     "Qwen/Qwen-Image-2.1", torch_dtype=torch.bfloat16
 ).to("cuda")
 pipe.load_lora_weights(
-    "PrunaAI/Pruna-Q-Image-2.1",
+    "PrunaAI/P-Q-Image-2.1",
     weight_name=f"p_q_image_2.1_{STEPS}_steps_v0.1.safetensors",
 )
 
@@ -222,12 +222,12 @@ pipe.scheduler = FlowMatchEulerDiscreteScheduler.from_config(
 <table>
   <tr>
     <td>
-      <img src="assets/Pruna-Q-Image-2.1-v02-generation.png" alt="Six-step generation latency at 1024 and 2048 pixels" width="100%">
+      <img src="assets/P-Q-Image-2.1-v02-generation.png" alt="Six-step generation latency at 1024 and 2048 pixels" width="100%">
     </td>
   </tr>
   <tr>
     <td>
-      <img src="assets/Pruna-Q-Image-2.1-prompt-upsampling.png" alt="Prompt-upsampling latency for text and one to three reference images" width="100%">
+      <img src="assets/P-Q-Image-2.1-prompt-upsampling.png" alt="Prompt-upsampling latency for text and one to three reference images" width="100%">
     </td>
   </tr>
 </table>
@@ -265,18 +265,18 @@ Both enhancers use thinking with
 <table>
   <tr>
     <td width="50%">
-      <img src="assets/Pruna-Q-Image-2.1-t2i-1024.png" width="100%">
+      <img src="assets/P-Q-Image-2.1-t2i-1024.png" width="100%">
     </td>
     <td width="50%">
-      <img src="assets/Pruna-Q-Image-2.1-t2i-2048.png" width="100%">
+      <img src="assets/P-Q-Image-2.1-t2i-2048.png" width="100%">
     </td>
   </tr>
   <tr>
     <td width="50%">
-      <img src="assets/Pruna-Q-Image-2.1-i2i-1024.png" width="100%">
+      <img src="assets/P-Q-Image-2.1-i2i-1024.png" width="100%">
     </td>
     <td width="50%">
-      <img src="assets/Pruna-Q-Image-2.1-i2i-2048.png" width="100%">
+      <img src="assets/P-Q-Image-2.1-i2i-2048.png" width="100%">
     </td>
   </tr>
 </table>
@@ -284,9 +284,9 @@ Both enhancers use thinking with
 Text-to-image with the official Qwen model-card example prompt, BF16, batch size 1,
 on one NVIDIA H100 80GB. Median of 3 requests after one warmup per configuration.
 Includes prompt encoding, denoising, and decoding; excludes PNG saving, model
-loading, and warmup. Base: 40 steps with KV cache on; Pruna-Q-Image-2.1: 5 or 8 steps with
+loading, and warmup. Base: 40 steps with KV cache on; P-Q-Image-2.1: 5 or 8 steps with
 KV cache off, as configured for this benchmark. The examples below enable KV caching for
-Pruna-Q-Image-2.1; the chart has not been remeasured with that setting. LoRAs were unmerged;
+P-Q-Image-2.1; the chart has not been remeasured with that setting. LoRAs were unmerged;
 no CFG, compilation, or CPU offload. These timings do not imply equal image quality.
 
 
@@ -384,7 +384,7 @@ and `shift_terminal=None`, as shown in the v0.2 setup.
 
 The end distilled model is based on Qwen-Image-2.1.
 
-Pruna-Q-Image-2.1 is a derivative of Qwen-Image-2.1 and is distributed
+P-Q-Image-2.1 is a derivative of Qwen-Image-2.1 and is distributed
 under the **Qwen RESEARCH LICENSE AGREEMENT**. Review its use restrictions
 before using or redistributing the adapters.
 
@@ -393,7 +393,7 @@ Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved.
 
 ## What's next?
 
-- **Use Pruna-Q-Image-2.1 to generate and edit images with Qwen-Image-2.1 in a few steps.**
+- **Use P-Q-Image-2.1 to generate and edit images with Qwen-Image-2.1 in a few steps.**
 - Compress your own models with [Pruna](https://github.com/PrunaAI/pruna) and give us a ⭐️ for more efficiency!
 - Want to use our optimized image models right away?  Check [P-Image-Ideogram](https://www.pruna.ai/p-image-ideogram) and [P-Image-Edit](https://www.pruna.ai/p-image-edit).