Upload WAN2.2_GGUF_UPSCALER_14B.json

WAN2.2_GGUF_UPSCALER_14B.json

@@ -0,0 +1,3267 @@
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+      "title": "WAN 2.2 14B GGUF",
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+        "**Start Step:** Higher values = more like original video.\nFor subtle effects do higher start step. \n\nDefault start step = 3"
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+      "color": "#432",
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+        " **Split Step:** When to switch to the low-noise model.\n\nDefault Split Step = 7"
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+      "title": "CFG Scheduler (Optional)",
+      "properties": {
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+        "**Total Steps:** Overall generation quality. `8-12` is good. (This is due to lightx lora)\n\nDefault Total Step = 10"
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+      "outputs": [
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+          "type": "IMAGE",
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+        "# 1. Loaders\nThis section loads all the necessary components:\n- **Input Video:** Your source footage.\n- **High/Low Noise Models:** The two UNets for the 2-pass process.\n- **VAE:** Decodes the final latent image back into pixels.\n- **GGUF CLIP:** The text encoder for understanding your prompt."
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+        "allow_interaction": true
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+      "order": 7,
+      "mode": 0,
+      "inputs": [],
+      "outputs": [],
+      "title": "PROCESS YOUR INPUTS",
+      "properties": {
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+        "fontFamily": "Arial",
+        "fontColor": "#ffffff",
+        "textAlign": "left",
+        "backgroundColor": "transparent",
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+      "outputs": [],
+      "title": "GENERATE",
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+        "textAlign": "left",
+        "backgroundColor": "transparent",
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+      "properties": {},
+      "widgets_values": [
+        "# 3. Generation / Sampling\nThe core of the process. The first sampler runs for the initial steps (`start_step` to `split_step`), and the second sampler takes over to finish the generation."
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+        " [Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2) | [教程](https://docs.comfy.org/zh-CN/tutorials/video/wan/wan2_2)\n\n**Diffusion Model**\n\n* [Wan2.2-T2V-A14B-HighNoise-Q4\\_K\\_M.gguf](https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/resolve/main/HighNoise/Wan2.2-T2V-A14B-HighNoise-Q4_K_M.gguf)\n* [Wan2.2-T2V-A14B-LowNoise-Q4\\_K\\_M.gguf](https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/resolve/main/LowNoise/Wan2.2-T2V-A14B-LowNoise-Q4_K_M.gguf)\n\n**VAE**\n\n* [wan\\_2.1\\_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n* [tawe2_1.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/taew2_1.safetensors)\n\n**Text Encoder**\n\n* [umt5-xxl-encoder-Q4\\_K\\_M.gguf](https://huggingface.co/city96/umt5-xxl-encoder-gguf/resolve/main/umt5-xxl-encoder-Q4_K_M.gguf)\n\n**LoRAs**\n\n[lightx2v\\_T2V\\_14B\\_cfg\\_step\\_distill\\_v2\\_lora\\_rank256\\_bf16.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_T2V_14B_cfg_step_distill_v2_lora_rank256_bf16.safetensors)\n\n# [WAN 2.2 PROMPT ENHANCER](https://prompter--thaakeno.on.websim.com/)\n\nUse this big-ass prompt enhancer to get the most out of your WAN 2.2 models.\n\n---\n# [thaakeno's ComfyUI Workflows](https://huggingface.co/thaakeno46/ComfyUI-Workflows)\n\n\nFind more WAN 2.2 Workflows here.\n\n### File save location\n\n```plaintext\nComfyUI/\n├───📂 models/\n│   ├───📂 unet/\n│   │   ├─── Wan2.2-T2V-A14B-HighNoise-Q4_K_M.gguf\n│   │   └─── Wan2.2-T2V-A14B-LowNoise-Q4_K_M.gguf\n│   ├───📂 clip/\n│   │   └─── umt5-xxl-encoder-Q4_K_M.gguf \n│   ├───📂 vae/\n│   │   └─── wan_2.1_vae.safetensors\n│   ├───📂 vae_approx/\n│   │   └─── taew2_1.safetensors\n│   └───📂 loras/\n│       └─── lightx2v_T2V_14B_cfg_step..."
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