tutorials/video/wan/wan2_2 #291
Replies: 20 comments 18 replies
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14B takes too long on a 3090. (5 minutes for 1 step) 5B gives an error on the VAE. Any solutions? |
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Using the default 5B TI2V workflow I'm getting some artifacts, particulary often with I2V (T2V is sometimes producing them, but are less noticeable). This artifacts appear like flickering giant pixels all over the generated video. I've only changed the aspect ratio to portrait and lowered framecount so I get quicker gens. Anyone knows if this may cause known trouble or if this issue is common across some configs? Thank you in advance. |
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On the 14B workflows I'm getting an error of: Requested to load WAN21 Is this just me running out of VRAM? I have 16 GB Also noticed on the image to video 14B workflow the Json is loading the FP8 models but the text says to download the FP16 models. I'm a noob so maybe I'm just misunderstanding what this is telling us. |
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This guide says to use the 2.1 VAE for 14B model... Is that a mistake? |
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When i tried the 14b i2v workflow using the fp8_e4m3fn_fast i get this error: Exception during fp8 op: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling Switching to fp8_e5m2 made it run however i'm not sure if this will make the results worse, I'm running it on a RTX 4090 and one step is taking roughly 2.3minutes |
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is there any reason that the secon samples is on fixed value? |
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Ich erhalte beim Workflow folgende Fehlermeldung: KSamplerAdvanced |
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The workflows are coming out for me as just an image, not a video. Not sure what's going on. |
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definetly needs lora speedup |
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Error: Given groups=1, weight of size [5120, 36, 1, 2, 2], expected input[1, 32, 31, 160, 90] to have 36 channels, but got 32 channels instead |
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5b model i2v 960x1280 (!) resolution takes just 3:07 with 20 steps. really fast. it is base fp16. so fp8 should be less then 2min and fp4 just around 1min or even less. with lower resolution ofc faster. i tried lower resolution it takes less then 2min. but quality much worst |
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the negative prompt in the 5b workflow is in chinese, does it matter? running it through deepl gave me "Vibrant colors, overexposed, static, blurry details, subtitles, style, artwork, painting, scene, static, overall grayish, poor quality, low quality, JPEG compression artifacts, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, deformed limbs, fused fingers, static scene, cluttered background, three legs, many people in the background, walking backward" is that what they're supposed to be? or should i leave them in chinese? what about if i want to add more, does the language matter? |
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Very cool but on the "Wan2.2 14B T2V Text-to-Video Workflow Example" i got a stall with a 4090, 64gb ram, 9950x3d .. Shortening the length gave me an error supposedly caused by EmptyHunyuanLatentVideo. I lowered the resolution in the hopes it would work but keep getting AI told me that there should be a "EmptyWAN2LatentVideo " |
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Can I use wan2.2 with same Causvid Lora ? |
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Can I run with multiple GPUs? |
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模块"tensorflow"没有属性"tensor" |
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Please share text to image workflow |
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Danke, nachdem Update funktioniert es.
Parth Wagh ***@***.***> schrieb am Di., 29. Juli 2025, 07:55:
… Please share text to image workflow
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I tried to run Wan2.2 TI2V 5B Hybrid Version Workflow Example on my Macbook M2 pro 32GB Ram, It resulted in a messy pixelated video. Changed the scheduler to Euler Normal, got the best result there but still it was just a chaostic pixelated video. Tried both T2V and I2V |
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I tried the default "Wan 2.2 14B Image to Video" template (with fp8 model versions). Didn't change anything: My 4090 took = 80 minutes ... oufff :/ |
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tutorials/video/wan/wan2_2
Official User Guide for WAN 2.2 Video Generation workflow example in ComfyUI
https://docs.comfy.org/tutorials/video/wan/wan2_2
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