fgtm2023
commented
2 weeks ago new update, i reverted to gradio 4.40.0 and Surprisingly forge and gradio worked normally, but photomaker2 problem is still unsolved.
Open fgtm2023 opened 2 weeks ago
fgtm2023
commented
2 weeks ago new update, i reverted to gradio 4.40.0 and Surprisingly forge and gradio worked normally, but photomaker2 problem is still unsolved.
Peace, photomaker2 don't open any photo or accept drag and drop or response to mouse clicks on submit, and got this error messages on browser console:
file=script.js:1
edit-order.js:1
edit-attention.js:1
aspectRatioOverlay.js:1
dragdrop.js:1
contextMenus.js:1
file=style.css:1
style.css:1
extensions.js:1
extraNetworks.js:1
generationParams.js:1
gradio.js:1
hires_fix.js:1
imageMaskFix.js:1
imageviewer.js:1
imageviewerGamepad.js:1
hints.js:1
inputAccordion.js:1
localStorage.js:1
notification.js:1
profilerVisualization.js:1
progressbar.js:1
resizeHandle.js:1
localization.js:1
settings.js:1
mobile.js:1
textualInversion.js:1
token-counters.js:1
ui.js:1
ui_settings_hints.js:1
prompt-bracket-checker.js:1
active_units.js:1
canvas.js:1
modal.js:1
openpose_editor.js:1
photopea.js:1
127.0.0.1/:119 Uncaught ReferenceError: set_theme is not defined at 127.0.0.1/:119:32 autoDetectRenderer.mjs:8 Uncaught (in promise) Error: Unable to auto-detect a suitable renderer. at Bb (autoDetectRenderer.mjs:8:9) at new ih (Application.mjs:10:34) at MT (pixi.ts:86:14) at ImageEditor.svelte:282:15 at run (svelte.js:41:9) at Array.map ()
at svelte.js:3182:48
at flush (svelte.js:2141:5)
file=style.css:1
style.css:1
127.0.0.1/:1 [Deprecation] -ms-high-contrast-adjust is in the process of being deprecated. Please see https://blogs.windows.com/msedgedev/2024/04/29/deprecating-ms-high-contrast/ for tips on updating to the new Forced Colors Mode standard. 127.0.0.1/:1 [Deprecation] -ms-high-contrast-adjust is in the process of being deprecated. Please see https://blogs.windows.com/msedgedev/2024/04/29/deprecating-ms-high-contrast/ for tips on updating to the new Forced Colors Mode standard. 127.0.0.1/:1 [Deprecation] -ms-high-contrast-adjust is in the process of being deprecated. Please see https://blogs.windows.com/msedgedev/2024/04/29/deprecating-ms-high-contrast/ for tips on updating to the new Forced Colors Mode standard. [NEW] Explain Console errors by using Copilot in Edge: click
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-P.S:
i use gradio 4.41.0 instead of gradio 4.40.0 because forge gradio was loading forever and browser console log was: index.js:288 Could not get api details: Failed to execute 'fetch' on 'Window': Failed to parse URL from http://127.0.0.1:7860http://127.0.0.1:7860/info C @ index.js:288 index.js:1606 Uncaught TypeError: Failed to construct 'URL': Invalid URL at parseURL (index.js:1606:27) at isRelativeHrefOnAbsolutePath (index.js:1625:21) at getRulesSync (index.js:5680:18) at Object.details (index.js:5799:27) at index.js:7041:47 at Array.map () at index.js:7041:22 at handleStyleOperations (index.js:6222:17) at handleMinorTreeMutations (index.js:6249:13) at index.js:479:25
-so i replaced gradio==4.40.0 to gradio==4.41.0 in requirements_versions.txt then: pip install -r requirements_versions.txt --upgrade
and after this forge opened normally.
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python launch.py --theme dark --disable-safe-unpickle Python 3.10.12 (main, Jul 29 2024, 16:56:48) [GCC 11.4.0] Version: f2.0.1v1.10.1-previous-474-ga8483a3f Commit hash: a8483a3f79c74873d554ac94d045eeb63a41176d Launching Web UI with arguments: --theme dark --disable-safe-unpickle Total VRAM 8176 MB, total RAM 19941 MB pytorch version: 2.5.0.dev20240828+rocm6.2 Set vram state to: NORMAL_VRAM Device: cuda:0 Radeon RX Vega : native VAE dtype preferences: [torch.float32] -> torch.float32 CUDA Using Stream: False 2024-08-31 00:32:17.562610: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-08-31 00:32:18.626265: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT Using sub quadratic optimization for cross attention Using split attention for VAE
You are running gradio 4.41.0. The program is designed to work with gradio 4.40.0. Using a different version of gradio is extremely likely to break the program.
Reasons why you have the mismatched gradio version can be:
Use --skip-version-check commandline argument to disable this check.
ControlNet preprocessor location: /home/abdo/stable-diffusion-webui-forge/models/ControlNetPreprocessor 2024-08-31 00:32:27,409 - ControlNet - INFO - ControlNet UI callback registered. Using online LoRAs in FP16: False Running on local URL: http://127.0.0.1:7860
To create a public link, set
share=Trueinlaunch(). Startup time: 24.9s (prepare environment: 7.1s, import torch: 12.1s, other imports: 0.5s, load scripts: 2.0s, create ui: 2.0s, gradio launch: 1.1s). Opening in existing browser session. Environment vars changed: {'stream': False, 'inference_memory': 1024.0, 'pin_shared_memory': False} [GPU Setting] You will use 87.48% GPU memory (7152.00 MB) to load weights, and use 12.52% GPU memory (1024.00 MB) to do matrix computation. [Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Done. Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} model ignore: /home/abdo/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} model ignore: /home/abdo/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: /home/abdo/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0 Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} model ignore: /home/abdo/.insightface/models/buffalo_l/genderage.onnx genderage Applied providers: ['CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}} find model: /home/abdo/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5 set det-size: (640, 640) Loading pipeline components...: 100%|█████████████| 7/7 [00:17<00:00, 2.46s/it] /home/abdo/stable-diffusion-webui-forge/modules_forge/patch_basic.py:38: FutureWarning: You are usingtorch.loadwithweights_only=False(the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value forweights_onlywill be flipped toTrue. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user viatorch.serialization.add_safe_globals. We recommend you start settingweights_only=Truefor any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature. result = original_loader(*args, **kwargs) Loading PhotoMaker v2 components [1] id_encoder from [/home/abdo/stable-diffusion-webui-forge/models/diffusers/models--TencentARC--PhotoMaker-V2/snapshots/f5a1e5155dc02166253fa7e29d13519f5ba22eac]... 4096 Loading PhotoMaker v2 components [2] lora_weights from [/home/abdo/stable-diffusion-webui-forge/models/diffusers/models--TencentARC--PhotoMaker-V2/snapshots/f5a1e5155dc02166253fa7e29d13519f5ba22eac] Forge Space: Moved 9255 Modules to cpu Automatic hook: T2IAdapter.forward Automatic hook: PhotoMakerIDEncoder_CLIPInsightfaceExtendtoken.forward Automatic hook: CLIPTextModel.forward Automatic hook: CLIPTextModelWithProjection.forward Automatic hook: UNet2DConditionModel.forward Automatic hook: AutoencoderKL.forward Automatic hook: AutoencoderKL.encode Automatic hook: AutoencoderKL.decode Running on local URL: http://127.0.0.1:7861To create a public link, set
share=Trueinlaunch(). Opening in existing browser session.\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\
my pc specs is:
-OS: Ubuntu 22.04.4 LTS x86_64 -Kernel: 6.8.0-40-generic -Shell: zsh 5.8.1 -CPU: Intel i7-4790K (8) @ 4.600GHz -GPU: AMD ATI Radeon RX Vega 56 8GiB -Memory: 20GiB
-pip list | grep -i rocm pytorch-triton-rocm 3.0.0+21eae954ef torch 2.5.0.dev20240828+rocm6.2 torchaudio 2.5.0.dev20240828+rocm6.2 torchvision 0.20.0.dev20240828+rocm6.2
-pip list | grep -i cuda nvidia-cuda-cupti-cu11 11.7.101 nvidia-cuda-cupti-cu12 12.1.105 nvidia-cuda-nvrtc-cu11 11.7.99 nvidia-cuda-nvrtc-cu12 12.1.105 nvidia-cuda-runtime-cu11 11.7.99 nvidia-cuda-runtime-cu12 12.1.105
-pip list | grep -i amd amdsmi 24.5.1+c5106a9
-pip list | grep -i torch lion-pytorch 0.2.2 open-clip-torch 2.20.0 pytorch-ignite 0.5.1 pytorch-lightning 1.9.4 pytorch-triton-rocm 3.0.0+21eae954ef torch 2.5.0.dev20240828+rocm6.2 torchaudio 2.5.0.dev20240828+rocm6.2 torchdiffeq 0.2.3 torchmetrics 1.4.1 torchsde 0.2.6 torchvision 0.20.0.dev20240828+rocm6.2
-rocminfo ROCk module is loaded HSA System Attributes Runtime Version: 1.13 Runtime Ext Version: 1.4 System Timestamp Freq.: 1000.000000MHz Sig. Max Wait Duration: 18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count) Machine Model: LARGE System Endianness: LITTLE Mwaitx: DISABLED DMAbuf Support: YES
========== HSA Agents Agent 1
Name: Intel(R) Core(TM) i7-4790K CPU @ 4.00GHz Uuid: CPU-XX Marketing Name: Intel(R) Core(TM) i7-4790K CPU @ 4.00GHz Vendor Name: CPU Feature: None specified Profile: FULL_PROFILE Float Round Mode: NEAR Max Queue Number: 0(0x0) Queue Min Size: 0(0x0) Queue Max Size: 0(0x0) Queue Type: MULTI Node: 0 Device Type: CPU Cache Info: L1: 32768(0x8000) KB Chip ID: 0(0x0) ASIC Revision: 0(0x0) Cacheline Size: 64(0x40) Max Clock Freq. (MHz): 4600 BDFID: 0 Internal Node ID: 0 Compute Unit: 8 SIMDs per CU: 0 Shader Engines: 0 Shader Arrs. per Eng.: 0 WatchPts on Addr. Ranges:1 Features: None Pool Info: Pool 1 Segment: GLOBAL; FLAGS: FINE GRAINED Size: 20419288(0x13792d8) KB Allocatable: TRUE Alloc Granule: 4KB Alloc Recommended Granule:4KB Alloc Alignment: 4KB Accessible by all: TRUE Pool 2 Segment: GLOBAL; FLAGS: KERNARG, FINE GRAINED Size: 20419288(0x13792d8) KB Allocatable: TRUE Alloc Granule: 4KB Alloc Recommended Granule:4KB Alloc Alignment: 4KB Accessible by all: TRUE Pool 3 Segment: GLOBAL; FLAGS: COARSE GRAINED Size: 20419288(0x13792d8) KB Allocatable: TRUE Alloc Granule: 4KB Alloc Recommended Granule:4KB Alloc Alignment: 4KB Accessible by all: TRUE ISA Info:
Agent 2
Name: gfx900 Uuid: GPU-0214ff7c0fe82844 Marketing Name: Radeon RX Vega Vendor Name: AMD Feature: KERNEL_DISPATCH Profile: BASE_PROFILE Float Round Mode: NEAR Max Queue Number: 128(0x80) Queue Min Size: 64(0x40) Queue Max Size: 131072(0x20000) Queue Type: MULTI Node: 1 Device Type: GPU Cache Info: L1: 16(0x10) KB L2: 4096(0x1000) KB Chip ID: 26751(0x687f) ASIC Revision: 1(0x1) Cacheline Size: 64(0x40) Max Clock Freq. (MHz): 1590 BDFID: 768 Internal Node ID: 1 Compute Unit: 56 SIMDs per CU: 4 Shader Engines: 4 Shader Arrs. per Eng.: 1 WatchPts on Addr. Ranges:4 Coherent Host Access: FALSE Features: KERNEL_DISPATCH Fast F16 Operation: TRUE Wavefront Size: 64(0x40) Workgroup Max Size: 1024(0x400) Workgroup Max Size per Dimension: x 1024(0x400) y 1024(0x400) z 1024(0x400) Max Waves Per CU: 40(0x28) Max Work-item Per CU: 2560(0xa00) Grid Max Size: 4294967295(0xffffffff) Grid Max Size per Dimension: x 4294967295(0xffffffff) y 4294967295(0xffffffff) z 4294967295(0xffffffff) Max fbarriers/Workgrp: 32 Packet Processor uCode:: 464 SDMA engine uCode:: 434 IOMMU Support:: None Pool Info: Pool 1 Segment: GLOBAL; FLAGS: COARSE GRAINED Size: 8372224(0x7fc000) KB Allocatable: TRUE Alloc Granule: 4KB Alloc Recommended Granule:2048KB Alloc Alignment: 4KB Accessible by all: FALSE Pool 2 Segment: GLOBAL; FLAGS: EXTENDED FINE GRAINED Size: 8372224(0x7fc000) KB Allocatable: TRUE Alloc Granule: 4KB Alloc Recommended Granule:2048KB Alloc Alignment: 4KB Accessible by all: FALSE Pool 3 Segment: GROUP Size: 64(0x40) KB Allocatable: FALSE Alloc Granule: 0KB Alloc Recommended Granule:0KB Alloc Alignment: 0KB Accessible by all: FALSE ISA Info: ISA 1 Name: amdgcn-amd-amdhsa--gfx900:xnack- Machine Models: HSA_MACHINE_MODEL_LARGE Profiles: HSA_PROFILE_BASE Default Rounding Mode: NEAR Default Rounding Mode: NEAR Fast f16: TRUE Workgroup Max Size: 1024(0x400) Workgroup Max Size per Dimension: x 1024(0x400) y 1024(0x400) z 1024(0x400) Grid Max Size: 4294967295(0xffffffff) Grid Max Size per Dimension: x 4294967295(0xffffffff) y 4294967295(0xffffffff) z 4294967295(0xffffffff) FBarrier Max Size: 32 Done