[Bug]: Gradio link is NOT generating though the gradio share API is operational

[Arjun91221]

Checklist

• [X] The issue has not been resolved by following the troubleshooting guide
• [x] The issue exists on a clean installation of Fooocus
• [x] The issue exists in the current version of Fooocus
• [x] The issue has not been reported before recently
• [X] The issue has been reported before but has not been fixed yet

What happened?

Gradio link is NOT generating though the gradio share API is operational

Steps to reproduce the problem

Not able to see gradio link

What should have happened?

I don't know..It's all of sudden

What browsers do you use to access Fooocus?

Google Chrome

Where are you running Fooocus?

Locally

What operating system are you using?

windows 10

Console logs

Requirement already satisfied: cffi>=1.9.1 in /usr/local/lib/python3.10/dist-packages (from pygit2==1.12.2) (1.16.0)
Requirement already satisfied: pycparser in /usr/local/lib/python3.10/dist-packages (from cffi>=1.9.1->pygit2==1.12.2) (2.22)
Installing collected packages: pygit2
Successfully installed pygit2-1.12.2
/content
Cloning into 'Fooocus'...
remote: Enumerating objects: 8442, done.
remote: Counting objects: 100% (56/56), done.
remote: Compressing objects: 100% (40/40), done.
remote: Total 8442 (delta 26), reused 34 (delta 16), pack-reused 8386
Receiving objects: 100% (8442/8442), 51.85 MiB | 29.03 MiB/s, done.
Resolving deltas: 100% (4668/4668), done.
/content/Fooocus
Already up-to-date
Update succeeded.
[System ARGV] ['entry_with_update.py', '--share', '--always-high-vram']
Python 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]
Fooocus version: 2.3.1
Error checking version for torchsde: No package metadata was found for torchsde
Installing requirements
[Cleanup] Attempting to delete content of temp dir /tmp/fooocus
[Cleanup] Cleanup successful
Downloading: "https://huggingface.co/lllyasviel/misc/resolve/main/xlvaeapp.pth" to /content/Fooocus/models/vae_approx/xlvaeapp.pth

100% 209k/209k [00:00<00:00, 4.39MB/s]
Downloading: "https://huggingface.co/lllyasviel/misc/resolve/main/vaeapp_sd15.pt" to /content/Fooocus/models/vae_approx/vaeapp_sd15.pth

100% 209k/209k [00:00<00:00, 4.15MB/s]
Downloading: "https://huggingface.co/lllyasviel/misc/resolve/main/xl-to-v1_interposer-v3.1.safetensors" to /content/Fooocus/models/vae_approx/xl-to-v1_interposer-v3.1.safetensors

100% 6.25M/6.25M [00:00<00:00, 44.6MB/s]
Downloading: "https://huggingface.co/lllyasviel/misc/resolve/main/fooocus_expansion.bin" to /content/Fooocus/models/prompt_expansion/fooocus_expansion/pytorch_model.bin

100% 335M/335M [00:02<00:00, 150MB/s]
Downloading: "https://huggingface.co/lllyasviel/fav_models/resolve/main/fav/juggernautXL_v8Rundiffusion.safetensors" to /content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors

100% 6.62G/6.62G [01:04<00:00, 110MB/s]
Downloading: "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_offset_example-lora_1.0.safetensors" to /content/Fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors

100% 47.3M/47.3M [00:00<00:00, 110MB/s]
Total VRAM 15102 MB, total RAM 12979 MB
Set vram state to: HIGH_VRAM
Always offload VRAM
Device: cuda:0 Tesla T4 : native
VAE dtype: torch.float32
Using pytorch cross attention
2024-05-02 10:26:21.880269: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:9261] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered
2024-05-02 10:26:21.880333: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:607] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered
2024-05-02 10:26:22.017376: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1515] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered
2024-05-02 10:26:25.200193: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
Refiner unloaded.
Running on local URL:  http://127.0.0.1:7865

Could not create share link. Missing file: /usr/local/lib/python3.10/dist-packages/gradio/frpc_linux_amd64_v0.2. 

Please check your internet connection. This can happen if your antivirus software blocks the download of this file. You can install manually by following these steps: 

1. Download this file: https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_amd64
2. Rename the downloaded file to: frpc_linux_amd64_v0.2
3. Move the file to this location: /usr/local/lib/python3.10/dist-packages/gradio
model_type EPS
UNet ADM Dimension 2816
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection', 'cond_stage_model.clip_g.transformer.text_model.embeddings.position_ids'}
loaded straight to GPU
Requested to load SDXL
Loading 1 new model
Base model loaded: /content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors
Request to load LoRAs [['sd_xl_offset_example-lora_1.0.safetensors', 0.1], ['None', 1.0], ['None', 1.0], ['None', 1.0], ['None', 1.0]] for model [/content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors].
Loaded LoRA [/content/Fooocus/models/loras/sd_xl_offset_example-lora_1.0.safetensors] for UNet [/content/Fooocus/models/checkpoints/juggernautXL_v8Rundiffusion.safetensors] with 788 keys at weight 0.1.
Fooocus V2 Expansion: Vocab with 642 words.
Fooocus Expansion engine loaded for cuda:0, use_fp16 = True.
Requested to load SDXLClipModel
Requested to load GPT2LMHeadModel
Loading 2 new models
[Fooocus Model Management] Moving model(s) has taken 0.66 seconds
Started worker with PID 908
App started successful. Use the app with http://127.0.0.1:7865/ or 127.0.0.1:7865

Additional information

No response

[GeorgesGraire]

Encountering the exact same issue.

[Arjun91221]

@GeorgesGraire Oh, I think, The repository owner has been changed. Is he making a problem with kind of experiments in newer versions?

[GeorgesGraire]

@Arjun91221 Maybe! But I hope it will be fixed soon since I can't use the localhost link it never worked for me so I always relied on the gradio.live one.

[KirtiKousik]

@GeorgesGraire try putting this code before your original code.

!wget https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb !dpkg -i cloudflared-linux-amd64.deb

[GeorgesGraire]

@GeorgesGraire try putting this code before your original code.

!wget https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb

!dpkg -i cloudflared-linux-amd64.deb In Google Collab?

[KirtiKousik]

yes

[KirtiKousik]

This should be the complete code

!wget https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb !dpkg -i cloudflared-linux-amd64.deb

!pip install pygit2==1.12.2 %cd /content !git clone https://github.com/KirtiKousik/Fooocus.git %cd /content/Fooocus !python entry_with_update.py --share --always-high-vram

[KirtiKousik]

Gradio link is down btw. after it starts running again, wait for it to settle, then it can generate gradio share link. Currently it's not stable. That's why it won't generate share link.

https://status.gradio.app/793595965

[magicFeirl]

I am currently using ngrok to solve this problem Example notebook: https://colab.research.google.com/drive/1LttWZhwrbcaWssT6rglq4xgDm9zuRaqv?usp=sharing

[demigit23]

Same problem :(

[GeorgesGraire]

I am currently using ngrok to solve this problem Example notebook: https://colab.research.google.com/drive/1LttWZhwrbcaWssT6rglq4xgDm9zuRaqv?usp=sharing

Thanks I will use yours for now, but the issue is still here even with the gradio service status being up.

[demigit23]

I am currently using ngrok to solve this problem Example notebook

Hello, do I need to make any modifications to that notebook? I tried to use it but I get this error:

_*File "", line 20 print(f" ngrok tunnel \"{publicurl}\" -> \"http://127.0.0.1:{port}\") ^ SyntaxError: unterminated string literal (detected at line 20)**

[IPv6]

Hello, do I need to make any modifications to that notebook? I tried to use it but I get this error:

Use print(f" * ngrok tunnel '{public_url}' -> 'http://127.0.0.1:{port}'")

[KirtiKousik]

it works at least 1 hour after share api being active. Share api needs at least one hour of stable uptime.

[GodFazer]

working now. check it

[AshleyRomano]

it stopped working again.

[igninjaz]

so many issues lately.

[mashb1t]

Yeah, there's currently nothing we can do. Luckily it's not Google banning public access to Fooocus on Colab, so there's that.

I'll add a note for the readme as soon as availability reaches 95% (last 7 days), we're still at 96.352% (last 7 days) and 99.146% (last 30 days), but as of their details in https://status.gradio.app/793595965 the Gradio Share API seems to have recovered from their infrastructural issues.

[AshleyRomano]

it is not working again, it was working fine in evening

[IPv6]

it is not working again, it was working fine in evening

You need to wait for gradio to wake up. The issue not in Fooocus //