Open mn1ei opened 4 weeks ago
This appears to be a network issue, possibly related to your firewall or ISP. It is not an issue that can be resolved at the ComfyUI or custom nodes level.
All I can suggest is to check your firewall and antivirus software, and try using a VPN.
Probes of GHub raws on a web browser is ok but why ComfyUI/SDiffXL fails to fetch the same? I also always left firewall and proxy down, and under the same ISP using the same GHub raws is ok outside but dies at ComfyUI/SDiffXL, doesn’t feels weird?
AMD R4750G APU × (14.9+46.9) GiB DDR4
Samsung 990PRO 3.63TiB nda0
Kingston NV2 3.63TiB nda1
Samsung 860QVO 3.63TiB ada0
(2.5’’)
Transcend 220Q 1.82TiB ada1
(M.2 SATA)
The most recent ComfyUI but a rather older SDiffXL 1.0.x base model
This issue is not related to the model at all. It is a network-related issue. At some stage, something outside of ComfyUI is interfering with domain name resolving.
try following the installation instructions here: https://github.com/hiddenswitch/ComfyUI?tab=readme-ov-file#installing
Maybe that network issue was just due to download overloads, however, it crashes either and freeze this turn, samely logs of just download overloads
@mn1ei ,
regarding pip install,
1) Python is sensitive to environment variables (while other applications ignore them), check env | grep PROXY
2) If you run it under Docker, it is just Docker-specific, recheck your docker config
3) Check your DNS settings anyways: if Chrome works, it does not mean that you have good system DNS (because Chrome prioritizes 8.8.8.8 over private DNS servers)
Regarding AMD Radeon 4750G: if you are actually trying to use APU (not GPU), your architecture is gfx90c
, it differs from gfx1030 in many ways, so don't use HSA_OVERRIDE_GFX_VERSION=10.3.0
. Your best chance is HSA_OVERRIDE_GFX_VERSION=9.0.0
, some people managed to use it here - https://www.gabriel.urdhr.fr/2022/08/28/trying-to-run-stable-diffusion-on-amd-ryzen-5-5600g/
Regarding 16GB UMA, actually, I don't know if ComfyUI uses UMA memory, but if after fixing all issues you see "not enough memory", you may try latest Linux 6.10 kernel - see https://www.phoronix.com/news/Linux-6.10-AMDKFD-Small-APUs for explanation.
Maybe that network issue was just due to download overloads, however, it crashes either and freeze this turn, samely logs of just download overloads
are you trying to do this in a container?