Comfyui Ksampler Scheduler Not Connecting
I notice that somewhat recently, the ksampler node now shows previews of the latent in process. I'm having trouble just finding the ksampler node, let alone the rest of it. Could someone please point me to the preview code? You signed in with another tab or window. Reload to refresh your session.
Reload to refresh your session. You switched accounts on another tab or window. The specified scheduler is not recognized. Ensure that the scheduler is one of the available options in comfy. samplers. ksampler. schedulers. If anyone knows how to revert to a past commit, please let me know. I use the dynamic node convert my sdxl model： but i found that when i used the converted tensorrt model, i got errors with different inputs; No errors were reported when i used images that met the opt parameter set. File d:\stable diffusion\setup\comfyui_windows_portable_nvidia\comfyui_windows_portable\comfyui\nodes. py, line 1382, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) Since comfyui update from oct 5, the ksampler config module is no longer able to connect sampler_name or scheduler with any other module. Tested with default ksamplers and a few other like impact facedetailer and efficientnode. The ksampler is the core of any workflow and can be used to perform text to image and image to image generation tasks. The example below shows how to use the ksampler in an image to image task, by connecting a model, a positive and negative embedding, and a latent image. Changing the conditions affected the video quality, but the progress speed at the ksampler step did not improve at all (the gpu also hardly works consistently). When applying a lora model for a pixar style to output a 3d video, it took about 12. I used to be able to input the scheduler for the ksampler (efficient) node.
The ksampler is the core of any workflow and can be used to perform text to image and image to image generation tasks. The example below shows how to use the ksampler in an image to image task, by connecting a model, a positive and negative embedding, and a latent image. Changing the conditions affected the video quality, but the progress speed at the ksampler step did not improve at all (the gpu also hardly works consistently). When applying a lora model for a pixar style to output a 3d video, it took about 12. I used to be able to input the scheduler for the ksampler (efficient) node. After updating it doesn't accept the input, and i can't find a node that outputs anything the ksampler will accept as input for the scheduler. I haven´t been able to use any model or workflow, i tested with the simplest ones. It goes throw different nodes (green outline) and then it always crashes in the ksampler and the error is the following (look down below). Sometimes the connection between sd parameter generator and a ksampler is not possible. But then with another tryout, it is connected. Then when running a queue, no scheduler input at sampler (red circle). First, select a stable diffusion checkpoint model in the load checkpoint node. Click on the model name to show a list of available models. If the node is too small, you can use the mouse wheel or pinch with two fingers on the touchpad to zoom in and out. It depends on what model you use and what exactly you want to accomplish. You can take a look here for a great explanation on what samplers are and follow this video to learn more about how to actually experiment on your own with different samplers and schedulers. Fix error on comfyui. Any workflow on comfyui when running to ksampler freezes and reports an error. I have updated everything but am having issues with the use everywhere connection for the schedular it appears connected but getting an error ksampler 782: Return type mismatch between linked nodes: Scheduler, ['normal', 'karras', 'expon.
After updating it doesn't accept the input, and i can't find a node that outputs anything the ksampler will accept as input for the scheduler. I haven´t been able to use any model or workflow, i tested with the simplest ones. It goes throw different nodes (green outline) and then it always crashes in the ksampler and the error is the following (look down below). Sometimes the connection between sd parameter generator and a ksampler is not possible. But then with another tryout, it is connected. Then when running a queue, no scheduler input at sampler (red circle). First, select a stable diffusion checkpoint model in the load checkpoint node. Click on the model name to show a list of available models. If the node is too small, you can use the mouse wheel or pinch with two fingers on the touchpad to zoom in and out. It depends on what model you use and what exactly you want to accomplish. You can take a look here for a great explanation on what samplers are and follow this video to learn more about how to actually experiment on your own with different samplers and schedulers. Fix error on comfyui. Any workflow on comfyui when running to ksampler freezes and reports an error. I have updated everything but am having issues with the use everywhere connection for the schedular it appears connected but getting an error ksampler 782: Return type mismatch between linked nodes: Scheduler, ['normal', 'karras', 'expon. The ksampler is the core of any workflow and can be used to perform text to image and image to image generation tasks. The example below shows how to use the ksampler in an image to image task, by connecting a model, a positive and negative embedding, and a latent image. I'm most confused with sde vs. Sde_gpu and when in civitai something has dpm++ sde karras mentioned as the sampler for an image, is it dpmpp_sde in comfyui (with karras scheduler obviously)? I'm currently getting ok results in the workflow mentioned above with: Steps 14, cfg 8. 0, dpmpp_sde_gpu, karras, denoise 1. 00 I recently updated comfyui and ever since then i cannot use the scheduler selector. On any sampler node (face detailer / ksampler) where i change the scheduler from a widget to input, it wont let me attach the scheduler selector to it. Operation not supported cuda kernel errors might be asynchronously reported at some other api call, so the stacktrace below might be incorrect. For debugging consider passing cuda_launch_blocking=1 compile w.
