Duplicate from calcuis/wan-1.3b-gguf

Co-authored-by: cαlcμ <calcuis@users.noreply.huggingface.co>

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README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- Wan-AI/Wan2.1-VACE-1.3B
+- Wan-AI/Wan2.1-T2V-1.3B
+pipeline_tag: text-to-video
+tags:
+- gguf-node
+- gguf-connector
+widget:
+- text: >-
+    a pig moving quickly in a beautiful winter scenery nature trees sunset
+    tracking camera
+  parameters:
+    negative_prompt: blurry ugly bad
+  output:
+    url: samples\ComfyUI_00003_.webp
+- text: >-
+    a pig moving quickly in a beautiful winter scenery nature trees sunset
+    tracking camera
+  parameters:
+    negative_prompt: blurry ugly bad
+  output:
+    url: samples\ComfyUI_00002_.webp
+- text: >-
+    a pig moving quickly in a beautiful winter scenery nature trees sunset
+    tracking camera
+  parameters:
+    negative_prompt: blurry ugly bad
+  output:
+    url: samples\ComfyUI_00001_.webp
+- text: >-
+    a pig moving quickly in a beautiful winter scenery nature trees sunset
+    tracking camera
+  parameters:
+    negative_prompt: blurry ugly bad
+  output:
+    url: samples\ComfyUI_00004_.webp
+- text: >-
+    a pig moving quickly in a beautiful winter scenery nature trees sunset
+    tracking camera
+  parameters:
+    negative_prompt: blurry ugly bad
+  output:
+    url: samples\ComfyUI_00005_.webp
+- text: >-
+    a pig moving quickly in a beautiful winter scenery nature trees sunset
+    tracking camera
+  parameters:
+    negative_prompt: blurry ugly bad
+  output:
+    url: samples\ComfyUI_00006_.webp
+---
+# **gguf quantized version of wan 1.3b models**
+- run it straight with `gguf-connector`
+- opt a `gguf` file in the current directory to interact with by:
+```
+ggc w2
+```
+>
+>GGUF file(s) available. Select which one to use:
+>
+>1. wan2.1-t2v-1.3b-q4_0.gguf
+>2. wan2.1-t2v-1.3b-q8_0.gguf
+>3. wan2.1-vace-1.3b-q4_0.gguf
+>4. wan2.1-vace-1.3b-q8_0.gguf
+>
+>Enter your choice (1 to 4): _
+>>>
+## **run it with gguf-node via comfyui**
+- drag **wan** to > `./ComfyUI/models/diffusion_models`
+- drag **umt5** to > `./ComfyUI/models/text_encoders`
+- drag **pig** to > `./ComfyUI/models/vae`
+<Gallery />
+### **review**
+- `wan` architecture; should work on both comfyui-gguf and gguf nodes
+- full set gguf works right away (model + encoder + vae); gguf node is recommended for full gguf
+- vace model is recommended, since it doesn't need vision clip to work (for i2v and v2v) and run faster than fun model a lot, according to the initial test results
+- upgrade your node for umt5 gguf encoder support
+- note: for umt5 gguf, you might encounter oom after rebuilding your tokenizer in the first prompt (once built the tokenizer alive during the session; before you kill it); don't panic, prompt again it should work
+![screenshot](https://raw.githubusercontent.com/calcuis/comfy/master/wan-gguf.png)
+### **reference**
+- base model from [wan-ai](https://huggingface.co/Wan-AI)
+- comfyui from [comfyanonymous](https://github.com/comfyanonymous/ComfyUI)
+- comfyui-gguf [city96](https://github.com/city96/ComfyUI-GGUF) (special thanks; fully compatible)
+- pig architecture from [connector](https://huggingface.co/connector)
+- gguf-node ([pypi](https://pypi.org/project/gguf-node)|[repo](https://github.com/calcuis/gguf)|[pack](https://github.com/calcuis/gguf/releases))
+- gguf-connector ([pypi](https://pypi.org/project/gguf-connector))

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