v3.1.2 Update:
Added LoRa Stacker
Simplified Loader
More Aspect Ratios and Resolutions
I actually wanted to add the Super Resolution ControlNet, but the integration into ComfyUI isn't working quite right yet. So, this feature will come with the next update.
V3.1 Update:
The V3.1 update now supports the ComfyUI Cascade models.
Additionally, it now has a cascade resolution and aspect ratio node, thus improving the quality of life. Many thanks to "bellamiss" for the node.
The Cascade resolutions custom node is included in the .zip file, just copy the node into the /customnodes folder."
ComfyUi Cascade Checkpoints Link:
V3 Update:
In V2, there was a bug that became apparent when rendering several hundred images, which affected the efficient sampler.
Therefore, I replaced it with the vanilla sampler in V3.
Many thanks for the help with testing to "erosdiffusion" from the L2 Discord.
Furthermore, V3 now has a face detailer that can edit up to 5 different faces.
Optionally, for images with larger faces, the quality of eyes can be improved with the eye detailer.
Eye Yolo Detector Model Link:
More Details LoRa SD 1.5 Link:
Update v3d (Diffusers):
After trying out numerous samplers and configurations, I've decided to go back to using the unofficial DiffusersStableCascade sampler again because it just consistently produces better, more creative images. Feel free to try out the v3 version as well, maybe you'll find a sampler configuration that consistently works well.
Diffusers Stable Cascase ComfyUi Node
It's possible that you encounter errors during installation. Here is a solution approach.
https://github.com/huggingface/diffusers/issues/1619#issuecomment-1345604389
https://huggingface.co/stabilityai/stable-cascade/discussions/17/files
V2 Update:
Comfyui now supports native stable cascade, so the diffusers sampler from v1 is no longer needed. The workflow generates images with sd cascade and improves face details if needed with an sd1.5 model.
The following resolutions work well: 1024x1024 / 1024x1904 / 1024x3808. If you know any other resolutions that work well, please post them here.
I've included a short guide on where to download the models and which folders to copy them into in the red notes of the workflow.
Description
Small bug fixes that affected the efficient sampler
Integration of 5x face detailer
Eye detailer
FAQ
Comments (5)
Error occurred when executing DetailerForEach: type object 'VAEEncode' has no attribute 'vae_encode_crop_pixels' File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 82, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 301, in doit DetailerForEach.do_detail(image, segs, model, clip, vae, guide_size, guide_size_for, max_size, seed, steps, File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\impact_pack.py", line 247, in do_detail enhanced_image, cnet_pils = core.enhance_detail(cropped_image, model, clip, vae, guide_size, guide_size_for_bbox, max_size, ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\core.py", line 233, in enhance_detail latent_image = to_latent_image(upscaled_image, vae) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Impact-Pack\modules\impact\utils.py", line 498, in to_latent_image pixels = nodes.VAEEncode.vae_encode_crop_pixels(pixels)
Which node is causing this error?
me too."VAEEncode' has no attribute 'vae_encode_crop_pixels",stop at Facedetailer node .
How to delete or prohibit excess facedetailer?
Shift+B for Bypass, U also can Bypass the group in the group Menu.