<h3 id="about">About</h3>This is an I2V workflow created for Wan2.2.By utilizing the high reliability of the start frame of the “FLF2V” mechanism and connecting the video output created in the loop processing, it is possible to generate videos of any length.This workflow uses "start_image" and "end_image" for FLF2V node.If you want to use "start_image" only, download <a target="_blank" rel="ugc" href="https://civarchive.com/models/1851648/wan22-highspeed-freelengthloop-processing-i2v-workflow-for-your-scenario-v11">similar </a>version.<h3 id="features">Features</h3>Express one scene in a single prompt line. The number of prompt lines you set will be the number of scenes (number of loop processing times).[IMPORTANT]There are rules for writing prompts. Please use the following format:The final frame image file must be prepared in advance.Write that path in the prompt below (4th element).<pre><code>　　duration (seconds) | character action | camera work | filepath of "end_image"</code></pre>　　(separate each item with a “|” symbol)The number of frames per loop (Length) can be expressed by the following formula and the number is variable for each loop.<pre><code>　　(Duration [seconds] × FPS) ÷ (Frame interpolation count + 1) + 1</code></pre>If the number of loop iterations is high, issues with color changes in the reference image may occur. In such cases, adjust the value of “🔧 Image Desaturate.”<hr /><h3 id="note">Note</h3>I have confirmed that the difference between the input frame and output frame via Ksampler is not constant, and if they do not match, the output image will be degraded.Example)<ul><li>30fps/1sec -&gt; In:31/Out:29 (Mismatch)</li><li>30fps/2sec -&gt; In:61/Out:61 (OK)</li><li>30fps/3sec -&gt; In:91/Out:89 (Mismatch)</li></ul>For this reason, I have prepared a mechanism to adjust the frame count (see image below).I believe this allows me to express my unique personality.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/8e2a3c63-2277-4f5d-9e28-a93aa14b3e3f/width=525/8e2a3c63-2277-4f5d-9e28-a93aa14b3e3f.jpeg" />

Wan2.2 Highspeed "FreeLength(Loop Processing)" I2V Workflow for Your Scenario (Start/End FLF2V)

wan22HighspeedFreelengthLoop_v10.zip

v1.0

<h3 id="about">About</h3><span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">This is an I2V workflow created for Wan2.2.I just made something <a target="_blank" rel="ugc" href="https://civarchive.com/models/1851648/wan22-highspeed-freelengthloop-processing-i2v-workflow-for-your-scenario">similar</a>.　The usage is almost the same.But, Since the video deteriorates with each loop, I reduced the degree of deterioration by setting “end_image.” in this "FLF2V Version"As a result, the prompt will be written as follows.<pre><code>duration (seconds) | character action | camera work | filepath-of-end_image</code></pre><span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">　(separate each item with a “|” symbol)When using this feature, the end images of each loop that will serve as keyframes must be prepared in advance.<hr /><h3 id="note">Note</h3>We have confirmed that the quality of the generated video deteriorates when the frame rates of KSampler's input and output are different.In some cases, there is no problem. Examples are as follows.<ul><li>1 sec 30 fps -&gt; Input: 31 - Output: 29 (Mismatch)</li><li>2 sec 30 fps -&gt; Input: 61 - Output: 61</li><li>3 sec 30 fps -&gt; Input: 91 - Output: 89 (Mismatch)</li></ul>Therefore, we have implemented a mechanism to adjust the output frame count per loop.<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/6b8ad3f2-b958-4f2a-b49c-e8b48fbbd05c/width=525/6b8ad3f2-b958-4f2a-b49c-e8b48fbbd05c.jpeg" />

Files with SHA256: 65278634b8cc190af9a60c4055fc71fbdcf4c3cb9455399cee6a9e8c2c2992ae