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I2V/Wan2_1-I2V-14B-480p_fp8_e4m3fn_scaled_KJ.safetensors

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I2V/Wan2_1-I2V-14B-480p_fp8_e5m2_scaled_KJ.safetensors

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README.md

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 ---
-license: Apache License 2.0
+license: apache-2.0
-
+---
-#model-type:
+base_model:
-##如 gpt、phi、llama、chatglm、baichuan 等
+- Wan-AI/Wan2.1-VACE-14B
-#- gpt
+- Wan-AI/Wan2.1-VACE-1.3B
-
-#domain:
-##如 nlp、cv、audio、multi-modal
-#- nlp
-
-#language:
-##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
-#- cn 
-
-#metrics:
-##如 CIDEr、Blue、ROUGE 等
-#- CIDEr
-
-#tags:
-##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
-#- pretrained
-
-#tools:
-##如 vllm、fastchat、llamacpp、AdaSeq 等
-#- vllm
 ---
-### 当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重，可浏览“模型文件”页面获取。
-#### 您可以通过如下git clone命令，或者ModelScope SDK来下载模型
 
-SDK下载
+Better fp8 scaled models (when measured against fp16) based on quantization code from https://github.com/Tencent-Hunyuan/HunyuanVideo/blob/main/hyvideo/modules/fp8_optimization.py
-```bash
+
-#安装ModelScope
+Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper (latest version) and ComfyUI native WanVideo nodes.
-pip install modelscope
+
-```
+14B-T2V comparison test without LoRAs, 25 steps, 832x480x81
-```python
+---
-#SDK模型下载
+
-from modelscope import snapshot_download
+<video controls autoplay width=50% src=https://cdn-uploads.huggingface.co/production/uploads/63297908f0b2fc94904a65b8/DwlAGbj20it1unZW54NDC.mp4></video>
-model_dir = snapshot_download('Kijai/WanVideo_comfy_fp8_scaled')
-```
-Git下载
-```
-#Git模型下载
-git clone https://www.modelscope.cn/Kijai/WanVideo_comfy_fp8_scaled.git
-```
 
-<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>

T2V/Wan2_1-T2V-14B_fp8_e4m3fn_scaled_KJ.safetensors

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T2V/Wan2_1-T2V-14B_fp8_e5m2_scaled_KJ.safetensors

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VACE/Wan2_1-VACE-module-14B_fp8_e4m3fn_scaled_KJ.safetensors

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configuration.json

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+{"framework": "pytorch", "task": "others", "allow_remote": true}