wsbagnsv1/skyreels-v2-df-1.3b-540p-gguf overview

{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "library_name": "gguf",
    "base_model": [
      "Skywork/SkyReels-V2-DF-1.3B-540P"
    ],
    "tags": [
      "video",
      "video-generation"
    ],
    "pipeline_tag": "image-to-video",
    "frontmatter": {
      "license": "apache-2.0",
      "library_name": "gguf",
      "base_model": [
        "Skywork/SkyReels-V2-DF-1.3B-540P"
      ],
      "tags": [
        "video",
        "video-generation"
      ],
      "pipeline_tag": "image-to-video"
    },
    "hero_image_url": "",
    "summary": "This is a direct GGUF conversion of Skywork/SkyReels-V2-DF-1.3B-540P All quants are created from the FP32 base file, though I only uploaded the Q8_0 and less, if you want the F16 or BF16 one I would upload it per request. The model files can be used with the ComfyUI-GGUF custom node. Place model files in ComfyUI/models/unet - see the GitHub readme for further install instructions. The VAE can be downloaded from this repository by Kijai Please refer to this chart for a basic overview of quantization types. For conversion I used the conversion scripts from city96",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nlibrary_name: gguf\nbase_model:\n- Skywork/SkyReels-V2-DF-1.3B-540P\ntags:\n- video\n- video-generation\npipeline_tag: image-to-video\n---\nThis is a direct GGUF conversion of [Skywork/SkyReels-V2-DF-1.3B-540P](https://huggingface.co/Skywork/SkyReels-V2-DF-1.3B-540P)\n\nAll quants are created from the FP32 base file, though I only uploaded the Q8_0 and less, if you want the F16 or BF16 one I would upload it per request. \n\nThe model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node.\n\nPlace model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions.\n\nThe VAE can be downloaded from [this repository by Kijai](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan2_1_VAE_bf16.safetensors)\n\nPlease refer to [this chart](https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard) for a basic overview of quantization types.\n\nFor conversion I used the conversion scripts from [city96](https://huggingface.co/city96)",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "video",
    "video-generation",
    "image-to-video",
    "base_model:Skywork/SkyReels-V2-DF-1.3B-540P",
    "base_model:quantized:Skywork/SkyReels-V2-DF-1.3B-540P",
    "license:apache-2.0",
    "region:us"
  ],
  "likes": 2,
  "downloads": 201,
  "gated": false,
  "private": false,
  "last_modified": "2025-04-27T12:16:35.000Z",
  "created_at": "2025-04-25T09:42:31.000Z",
  "pipeline_tag": "image-to-video",
  "library_name": "gguf"
}

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  "id": "wsbagnsv1/SkyReels-V2-DF-1.3B-540P-GGUF",
  "modelId": "wsbagnsv1/SkyReels-V2-DF-1.3B-540P-GGUF",
  "sha": "a0ef48b5b23b3fc910aa3a8b9928fc756c8a7a75",
  "createdAt": "2025-04-25T09:42:31.000Z",
  "lastModified": "2025-04-27T12:16:35.000Z",
  "author": "wsbagnsv1",
  "downloads": 201,
  "likes": 2,
  "gated": false,
  "private": false,
  "pipeline_tag": "image-to-video",
  "library_name": "gguf",
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