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README.md

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+---
+license: apache-2.0
+base_model:
+- Wan-AI/Wan2.2-I2V-A14B
+tags:
+- not-for-all-audiences
+- wan-2.2
+- lora
+- diffusers
+- template:sd-lora
+pipeline_tag: image-to-video
+library_name: diffusers
+---
+
+# Wan2.2-I2V-Scat
+
+## Info
+The most common issue brought up on my previous version was that it was incompatible with I2V. I made some updates in this version for i2v
+
+I recommend downloading the entire repo, as always.
+
+Download `config.json` for the demo workflow. 
+
+```bash/powershell
+pip install huggingface_hub
+hf download obsxrver/wan2.2-i2v-scat --local-dir ./wan2.2-i2v-scat
+```
+
+#### Be smart, use common sense.
+
+# I am not responsible for your actions

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config.json

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+      "properties": {
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+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [
+            227
+          ]
+        }
+      ],
+      "properties": {
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+        "Node name for S&R": "TorchCompileModelWanVideoV2"
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+        "default",
+        false,
+        true,
+        77,
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+        }
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+        "# SageAttention Speedup: \nNote: fp8_cuda++ mode requires CUDA 12.8 or above\n```\ngit clone https://github.com/thu-ml/SageAttention\ncd SageAttention\npython setup.py install\n```\n\nor:\n\n```\npip install sageattention==2.2.0 --no-build-isolation\n```"
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+      "flags": {},
+      "order": 2,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "Model Links",
+      "properties": {
+        "ue_properties": {
+          "widget_ue_connectable": {},
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+        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model**\n- [wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder**   \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│   ├───📂 diffusion_models/\n│   │   ├─── wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors\n│   │   └─── wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors\n│   ├───📂 loras/\n│   │   ├─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n│   │   └─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n│   ├───📂 text_encoders/\n│   │   └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors \n│   └───📂 vae/\n│       └── wan_2.1_vae.safetensors\n```\n"
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+}

training_analysis/training_summary.txt

@@ -0,0 +1,18 @@
+WAN2.2 LoRA Training Summary
+==================================================
+
+High Noise Training:
+  Total steps: 5100
+  Initial loss: 0.0542
+  Final loss: 0.0354
+  Min loss: 0.0234
+  Max loss: 0.0727
+  Mean loss: 0.0366
+
+Low Noise Training:
+  Total steps: 5100
+  Initial loss: 0.0338
+  Final loss: 0.0518
+  Min loss: 0.0277
+  Max loss: 0.0744
+  Mean loss: 0.0510