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.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
+result/output1.mp4 filter=lfs diff=lfs merge=lfs -text
+result/output2.mp4 filter=lfs diff=lfs merge=lfs -text
+result/output3.mp4 filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Wan-AI/Wan2.2-T2V-A14B
+pipeline_tag: image-to-video
+tags:
+- text-to-image
+- lora
+- diffusers
+- template:diffusion-lora
+widget:
+- text: >-
+    mrx, 一个女人穿着红色战斗服坐在桌子前吃饭
+  output:
+    url: result/output1.mp4
+- text: >-
+    mrx, 无人机运镜镜头，从室外到室内，一个女人在厨房忙碌做饭，旁边是已经两个做好的两道菜
+  output:
+    url: result/output2.mp4
+- text: >-
+    mrx, 无人机运镜镜头，从室外到室内，一个动漫女人坐在桌子前吃早饭，看到镜头后伸手打招呼，面带微笑
+  output:
+    url: result/output3.mp4
+
+---
+<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
+  <h1 style="color: #24292e; margin-top: 0;">valiantcat LoRA for Wan2.2-T2V-A14B</h1>
+  
+  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
+    <h2 style="color: #24292e; margin-top: 0;">Overview</h2>
+    <p>This LoRA is trained on the Wan2.2-T2V-A14B model.</p>
+  </div>
+
+  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
+    <h2 style="color: #24292e; margin-top: 0;">Features</h2>
+    <ul style="margin-bottom: 0;">
+      <li>Generate any life videos of eva through prompt</li>
+      <li>Trained on the Wan2.2-T2V-A14B base model</li>
+      <li>Consistent results across different object types</li>
+      <li>Simple prompt structure that's easy to adapt</li>
+    </ul>
+  </div>
+
+<Gallery />
+
+# Model File and Inference Workflow
+
+## 📥 Download Links:
+
+- [wan2.2-t2v-eva-low.safetensors](./wan2.2-t2v-eva-low.safetensors) - LoRA Model File
+
+
+---
+<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
+  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
+    <h2 style="color: #24292e; margin-top: 0;">Recommended Settings</h2>
+    <ul style="margin-bottom: 0;">
+      <li><b>LoRA Strength:</b> 1.0</li>
+      <li><b>Embedded Guidance Scale:</b> 1.0</li>
+      <li><b>Flow Shift:</b> 8.0</li>
+    </ul>
+  </div>
+
+  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
+    <h2 style="color: #24292e; margin-top: 0;">Trigger Words</h2>
+    <p>The key trigger phrase is: <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;">mrx</code></p>
+  </div>
+
+  <div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
+    <h2 style="color: #24292e; margin-top: 0;">Prompt Template</h2>
+    <p>For best results, use this prompt structure:</p>
+    <div style="background-color: #f0f0f0; padding: 12px; border-radius: 6px; margin: 10px 0;">
+      <i>mrx, 无人机运镜镜头，从室外到室内，一个动漫女人坐在桌子前吃早饭，看到镜头后伸手打招呼，面带微笑</i>
+    </div>
+  </div>

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": null,
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": false,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o",
+    "ffn.2",
+    "v",
+    "q",
+    "ffn.0",
+    "k"
+  ],
+  "task_type": null,
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

result/output1.mp4

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+oid sha256:ac64551b6d2ab73e60a5b6e5cf7a218e113e9142b0ddfde3802daa230e3dc7f8
+size 696529

result/output2.mp4

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+oid sha256:43149d776824ed21162485877f84ed21716ee5f2daea05195226359b6264b051
+size 1133427

result/output3.mp4

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+oid sha256:23ad9d8ff8cfb41b5d6efb5afa1bf891b518ad77f2ee3e49c6d4715bf0e28561
+size 1677740

wan2.2-t2v-eva-low.safetensors

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+size 306807976