lllyasviel / lllyasviel/stable-diffusion-webui-forge
Loading model crash sd forge
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- Python
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Description
Cannot load any model.

`Already up to date.
venv "./venv\Scripts\Python.exe"
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: f2.0.1v1.10.1-previous-244-g450ee458
Commit hash: 450ee45819dcc3017aff04b68cc101f81b32f85c
Launching Web UI with arguments: --listen --enable-insecure-extension-access --ckpt-dir 'G:\My Drive\SD-Data\Model' --hypernetwork-dir 'G:\My Drive\SD-Data\Hypernetworks' --embeddings-dir 'G:\My Drive\SD-Data\Embeddings' --lora-dir 'G:\My Drive\SD-Data\Lora' --lyco-dir 'G:\My Drive\SD-Data\Lyco' --vae-dir 'G:\My Drive\SD-Data\VAE'
Total VRAM 6144 MB, total RAM 16168 MB
pytorch version: 2.1.2+cu121
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 2060 : native
Hint: your device supports --cuda-malloc for potential speed improvements.
VAE dtype preferences: [torch.float32] -> torch.float32
CUDA Using Stream: False
Using pytorch cross attention
Using pytorch attention for VAE
ControlNet preprocessor location: C:\Users\cuom1705\Development\Projects\sd-webui\sd-forge\models\ControlNetPreprocessor
CHv1.8.10: Get Custom Model Folder
Tag Autocomplete: Cannot reload embeddings instantly: 'StableDiffusionModelHijack' object has no attribute 'embedding_db'
Tag Autocomplete: Could not locate model-keyword extension, Lora trigger word completion will be limited to those added through the extra networks menu.
[-] ADetailer initialized. version: 24.6.0, num models: 22
CHv1.8.10: Set Proxy:
2024-08-11 19:14:58,225 - ControlNet - INFO - ControlNet UI callback registered.
Model selected: {'checkpoint_info': {'filename': 'G:\\My Drive\\SD-Data\\Model\\SDXL\\pinkiepiePonyMix_v34Fp16.safetensors', 'hash': '7f6dc568'}, 'vae_filename': None, 'unet_storage_dtype': None}
Running on local URL: http://0.0.0.0:7860
To create a public link, set `share=True` in `launch()`.
IIB Database file has been successfully backed up to the backup folder.
Startup time: 40.0s (prepare environment: 9.2s, launcher: 2.6s, import torch: 4.7s, setup paths: 0.2s, initialize shared: 0.2s, other imports: 1.1s, list SD models: 0.7s, load scripts: 6.9s, initialize extra networks: 0.4s, create ui: 6.3s, gradio launch: 7.6s).
Model selected: {'checkpoint_info': {'filename': 'G:\\My Drive\\SD-Data\\Model\\SDXL\\pinkiepiePonyMix_v34Fp16.safetensors', 'hash': '7f6dc568'}, 'vae_filename': None, 'unet_storage_dtype': None}
Loading Model: {'checkpoint_info': {'filename': 'G:\\My Drive\\SD-Data\\Model\\SDXL\\pinkiepiePonyMix_v34Fp16.safetensors', 'hash': '7f6dc568'}, 'vae_filename': None, 'unet_storage_dtype': None}
Press any key to continue . . .`
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Reproduce the failure using the reported Windows launch arguments, Python 3.10.11, PyTorch 2.1.2+cu121, and the selected SDXL checkpoint path. Start with the startup log at “Loading Model” and determine why loading stops there; done means the reported model loads successfully without the crash.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100