Given my limited knowledge of programming, I had trouble getting my script to interact within A1111. Unfortunately, that function is not available in the controlnet gui as of this writing. This considerably improves the multipass technique. Then use a parallel batch to retrieve details. The best, best way to use this tool is to use our "stabilized" video in img2img, and the original (REAL) video in controlnet HED. In most cases, this brings back much of the detail, but retains the stability we've gained. Once we have that base, we must use a second step in Stable Diffusion, at low denoising (1-4). The most efficient way to use this tool is to allow a certain amount of corruption and ghosting, in exchange for more stable video. The simplest use is to find the balance between deflicking and deghosting. (BLEND DEFLICKER ADDED) USE STRATEGIES: Basic: Source denoise: Improves scanning in noisy sources. High values reduce the effectiveness of the process. This can reduce ghosting without changing DFI strength. 4-6 recommended.ĭFI Deghost: A variable that generally reduces the areas affected by DFI. Here you control how much change you allow overall.ĭFI Strength: Amount of information that tries to force. 0 refreshes the entire frame, with no changes. Refresh Strength: Opacity % of the interpolated information. It allows to keep more information of the generated video, and avoid major ghosting. Gui version 0.0.5 includes the following parameters.įrame refresh frequency: Every how many frames the interpolation is reduced. It is an aggressive process, for which we need and will have a lot of control. Example, if your original background is static, it will force the generated video to respect that, acting as a complex deflicker. Basic guide:ĭifferential frame interpolation analyzes the stability of the original video, and processes the generated video with that information. Until I figure out how to port it to a tab inside Automatic1111, you can open both at the same time with no problem.
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