fix/update-repo (#8)

- update README and assets (98a03292f655355c9e6ede1527046aab9605f4b2)
- update safetensors name (f6a031935768722725a355159b1f13667e296c55)
- update banner image (55b9a255b8230673b9015f2eb64abc4e5faee2e2)

.gitattributes

@@ -36,8 +36,8 @@ 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-Qwen-Image-2.1-i2i-1024.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Qwen-Image-2.1-i2i-2048.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Qwen-Image-2.1-t2i-1024.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Qwen-Image-2.1-t2i-2048.png filter=lfs diff=lfs merge=lfs -text
-assets/Pruna-Qwen-Image-2.1.png 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

README.md

@@ -16,7 +16,7 @@ tags:
 <!-- header start -->
 <!-- 200823 -->
 <p align="center">
-  <img src="assets/Pruna-Qwen-Image-2.1.png" width="800">
+  <img src="assets/Pruna-Q-Image-2.1.png" width="800">
 </p>
 <!-- header end -->
 
@@ -43,7 +43,7 @@ tags:
 </p>
 <div align="center">
 
-<h1 style="color: #9334E9;">⚡ Pruna-Qwen-Image-2.1</h1>
+<h1 style="color: #9334E9;">⚡ Pruna-Q-Image-2.1</h1>
 
 <h2>Few-step LoRA adapters for Qwen-Image-2.1</h2>
 
@@ -59,13 +59,13 @@ tags:
 
 </div>
 
-**Pruna-Qwen-Image-2.1 is a set of LoRA adapters that let
+**Pruna-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 5 or 8 steps. The adapters load on top of the base
 model, so the pipeline, text encoder, and VAE stay unchanged. Training is based
 on DMD. Improved using Qwen.**
 
-> **v0.1: first release, work in progress.** Pruna-Qwen-Image-2.1 does not yet match the
+> **v0.1: first release, work in progress.** Pruna-Q-Image-2.1 does not yet match the
 > visual quality of the base model. We are still improving the distillation and
 > will update this repository as new versions become available.
 
@@ -75,8 +75,8 @@ Both adapters are v0.1. Pick one based on whether you need **quality** or **spee
 
 | File | Steps | Trade-off |
 |---|:---:|---|
-| `p_qwen_image_2.1_8step_v0.1.safetensors` | 8 | **Higher quality.** Recommended as the default. |
-| `p_qwen_image_2.1_5step_v0.1.safetensors` | 5 | **Higher speed**, with noticeably lower visual quality. |
+| `p_q_image_2.1_8step_v0.1.safetensors` | 8 | **Higher quality.** Recommended as the default. |
+| `p_q_image_2.1_5step_v0.1.safetensors` | 5 | **Higher speed**, with noticeably lower visual quality. |
 
 Each adapter is trained for its own sigma schedule. Load only one at a time.
 
@@ -99,18 +99,18 @@ Use a table; Hugging Face can otherwise render the `<img>` elements as separate
 <table>
   <tr>
     <td width="50%">
-      <img src="assets/Pruna-Qwen-Image-2.1-t2i-1024.png" width="100%">
+      <img src="assets/Pruna-Q-Image-2.1-t2i-1024.png" width="100%">
     </td>
     <td width="50%">
-      <img src="assets/Pruna-Qwen-Image-2.1-t2i-2048.png" width="100%">
+      <img src="assets/Pruna-Q-Image-2.1-t2i-2048.png" width="100%">
     </td>
   </tr>
   <tr>
     <td width="50%">
-      <img src="assets/Pruna-Qwen-Image-2.1-i2i-1024.png" width="100%">
+      <img src="assets/Pruna-Q-Image-2.1-i2i-1024.png" width="100%">
     </td>
     <td width="50%">
-      <img src="assets/Pruna-Qwen-Image-2.1-i2i-2048.png" width="100%">
+      <img src="assets/Pruna-Q-Image-2.1-i2i-2048.png" width="100%">
     </td>
   </tr>
 </table>
@@ -118,9 +118,9 @@ Use a table; Hugging Face can otherwise render the `<img>` elements as separate
 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-Qwen-Image-2.1: 5 or 8 steps with
+loading, and warmup. Base: 40 steps with KV cache on; Pruna-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-Qwen-Image-2.1; the chart has not been remeasured with that setting. LoRAs were unmerged;
+Pruna-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.
 
 ## Quickstart
@@ -149,8 +149,8 @@ pipe = QwenImage21Pipeline.from_pretrained(
     "Qwen/Qwen-Image-2.1", torch_dtype=torch.bfloat16
 ).to("cuda")
 pipe.load_lora_weights(
-    "PrunaAI/Pruna-Qwen-Image-2.1",
-    weight_name=f"p_qwen_image_2.1_{STEPS}step_v0.1.safetensors",
+    "PrunaAI/Pruna-Q-Image-2.1",
+    weight_name=f"p_q_image_2.1_{STEPS}step_v0.1.safetensors",
 )
 
 # Use the sigmas exactly as given: no extra shifting.
@@ -229,7 +229,7 @@ image = pipe(
 
 The end distilled model is based on Qwen-Image-2.1.
 
-Pruna-Qwen-Image-2.1 is a derivative of Qwen-Image-2.1 and is distributed
+Pruna-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.
 
@@ -238,7 +238,7 @@ Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved.
 
 ## What's next?
 
-- **Use Pruna-Qwen-Image-2.1 to generate and edit images with Qwen-Image-2.1 in a few steps.**
+- **Use Pruna-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).