well explained! 4x upscale in my configuration in 15 min (rtx 3090 + 128 ram) --> 1792 x 960 px to (7168 x 3840 px) - 27.5 megapixels

So perfect! Thank you

Apisr＆Supirは、Topaz Gigapixelよりも高性能ですか？ Is Apisr & Supir more powerful than Topaz Gigapixel?

Thak you!

Been using this for a few days and have incorporated it into a workflow that does Txt2Img and InstantID first and it's great. Have yet to run into a VRAM issue yet, thank you :)

Any solutions for Mac M1 pro ?

LOL - "Teeth in mouth".

@canvapikltd6305

Ай бұрын

😁

😵😵😵👍

1 minute... more like 30minutes (4090 RTX, 64GRAM DDR5, AMD Ryzen 9 7900X3D and clean comfyui)

@albert93911

Ай бұрын

Takes me 2 minutes flat to generate an image, run it through a few ip-adapters,a reactor node, supir to 2k and ultimate upscale to 8K. On a 3090.

@runebinder

Ай бұрын

I've added it to a workflow with Txt2Img, InstantID and Face Detailer and that still takes less than half an hour on my system and I've only got a 2080Ti.

@xyzxyz324

Ай бұрын

sure that you are using the Lightning version of the model with required steps ?

@Lost_Dawn

Ай бұрын

More like 3 1/2 hours for me on my POS Intel Laptop. Never buy from Walmart... And that's on Final2X since I can't Run many other image upscalers.

nah would rather use topaz

Supir is non-commercial only so what is the point of this video? research?

@apache937

Ай бұрын

use it anyways no one cares

@CPDCT

27 күн бұрын

@@apache937 lol

did zendaya consent

I can't install Supir Traceback (most recent call last): File "E:\Data\ComfyUI-portable\ComfyUI odes.py", line 1864, in load_custom_node module_spec.loader.exec_module(module) File "", line 940, in exec_module File "", line 241, in _call_with_frames_removed File "E:\Data\ComfyUI-portable\ComfyUI\custom_nodes\ComfyUI-SUPIR\__init__.py", line 1, in from .nodes import SUPIR_Upscale File "E:\Data\ComfyUI-portable\ComfyUI\custom_nodes\ComfyUI-SUPIR odes.py", line 11, in from .sgm.util import instantiate_from_config File "E:\Data\ComfyUI-portable\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\__init__.py", line 1, in from .models import AutoencodingEngine, DiffusionEngine File "E:\Data\ComfyUI-portable\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\models\__init__.py", line 1, in from .autoencoder import AutoencodingEngine File "E:\Data\ComfyUI-portable\ComfyUI\custom_nodes\ComfyUI-SUPIR\sgm\models\autoencoder.py", line 6, in import pytorch_lightning as pl File "E:\Data\ComfyUI-portable\python_embeded\Lib\site-packages\pytorch_lightning\__init__.py", line 20, in from pytorch_lightning import metrics # noqa: E402 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Data\ComfyUI-portable\python_embeded\Lib\site-packages\pytorch_lightning\metrics\__init__.py", line 15, in from pytorch_lightning.metrics.classification import ( # noqa: F401 File "E:\Data\ComfyUI-portable\python_embeded\Lib\site-packages\pytorch_lightning\metrics\classification\__init__.py", line 14, in from pytorch_lightning.metrics.classification.accuracy import Accuracy # noqa: F401 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "E:\Data\ComfyUI-portable\python_embeded\Lib\site-packages\pytorch_lightning\metrics\classification\accuracy.py", line 18, in from pytorch_lightning.metrics.utils import deprecated_metrics, void File "E:\Data\ComfyUI-portable\python_embeded\Lib\site-packages\pytorch_lightning\metrics\utils.py", line 22, in from torchmetrics.utilities.data import get_num_classes as _get_num_classes ImportError: cannot import name 'get_num_classes' from 'torchmetrics.utilities.data' (E:\Data\ComfyUI-portable\python_embeded\Lib\site-packages\torchmetrics\utilities\data.py) Cannot import E:\Data\ComfyUI-portable\ComfyUI\custom_nodes\ComfyUI-SUPIR module for custom nodes: cannot import name 'get_num_classes' from 'torchmetrics.utilities.data' (E:\Data\ComfyUI-portable\python_embeded\Lib\site-packages\torchmetrics\utilities\data.py) Can you help me ?

Does it work with sd15... I have only 6gb vram cant actually run sdxl 🥲

@anonanonymous3781

Ай бұрын

You can do it even with 4 GB VRAM, however you need Tiled VAE or else you'll encounter low RAM CUDA error. Just combine tutorial or upscaler you like with it. But I see that SUPIR has "tiled_vae decoder" option, os it should work.