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[Bug]: Stable diffusion model failed to load #483

Open ZerasSunn opened 7 months ago

ZerasSunn commented 7 months ago

Checklist

What happened?

It shows "Stable diffusion model failed to load" in console, and can't load any model. I tried to start with the aaaki manager, and it show keep loading "forge finalize", and keep fail. Snipaste_2024-03-04_20-17-41 Snipaste_2024-03-04_20-04-51 Snipaste_2024-03-04_19-50-11

Steps to reproduce the problem

  1. Run the run.bat
  2. The webui start up with no model, and an error symbol on the model panel.

What should have happened?

Models should be loaded successfully.

What browsers do you use to access the UI ?

Google Chrome

Sysinfo

sysinfo-2024-03-04-11-59.json

Console logs

Stable diffusion model failed to load
Loading weights [879db523c3] from D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\models\Stable-diffusion\dreamshaper_8.safetensors
Traceback (most recent call last):
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 703, in pages_html
    create_html()
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 699, in create_html
    ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 699, in <listcomp>
    ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 518, in create_html
    self.items = {x["name"]: x for x in items_list}
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 518, in <dictcomp>
    self.items = {x["name"]: x for x in items_list}
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\extensions-builtin\Lora\ui_extra_networks_lora.py", line 82, in list_items
    item = self.create_item(name, index)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\extensions-builtin\Lora\ui_extra_networks_lora.py", line 69, in create_item
    elif shared.sd_model.is_sdxl and sd_version != network.SdVersion.SDXL:
AttributeError: 'NoneType' object has no attribute 'is_sdxl'
model_type EPS
UNet ADM Dimension 0
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.text_projection', 'cond_stage_model.clip_l.logit_scale'}
loaded straight to GPU
To load target model BaseModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) =  1500.59033203125
[Memory Management] Model Memory (MB) =  0.00762939453125
[Memory Management] Minimal Inference Memory (MB) =  1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) =  476.58270263671875
Moving model(s) has taken 0.01 seconds
Loading VAE weights specified in settings: D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\models\VAE\diffusion_pytorch_model.fp16.safetensors
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
  File "threading.py", line 973, in _bootstrap
  File "threading.py", line 1016, in _bootstrap_inner
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 703, in pages_html
    create_html()
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 699, in create_html
    ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 699, in <listcomp>
    ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 518, in create_html
    self.items = {x["name"]: x for x in items_list}
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 518, in <dictcomp>
    self.items = {x["name"]: x for x in items_list}
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\extensions-builtin\Lora\ui_extra_networks_lora.py", line 82, in list_items
    item = self.create_item(name, index)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\extensions-builtin\Lora\ui_extra_networks_lora.py", line 69, in create_item
    elif shared.sd_model.is_sdxl and sd_version != network.SdVersion.SDXL:
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\shared_items.py", line 133, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 509, in get_sd_model
    load_model()
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\sd_models.py", line 599, in load_model
    sd_vae.load_vae(sd_model, vae_file, vae_source)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\sd_vae.py", line 212, in load_vae
    _load_vae_dict(model, vae_dict_1)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\sd_vae.py", line 239, in _load_vae_dict
    model.first_stage_model.load_state_dict(vae_dict_1)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\torch\nn\modules\module.py", line 2152, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for AutoencoderKL:
        Missing key(s) in state_dict: "encoder.down.0.block.0.norm1.weight", "encoder.down.0.block.0.norm1.bias", "encoder.down.0.block.0.conv1.weight", "encoder.down.0.block.0.conv1.bias", "encoder.down.0.block.0.norm2.weight", "encoder.down.0.block.0.norm2.bias", "encoder.down.0.block.0.conv2.weight", "encoder.down.0.block.0.conv2.bias", "encoder.down.0.block.1.norm1.weight", "encoder.down.0.block.1.norm1.bias", "encoder.down.0.block.1.conv1.weight", "encoder.down.0.block.1.conv1.bias", "encoder.down.0.block.1.norm2.weight", "encoder.down.0.block.1.norm2.bias", "encoder.down.0.block.1.conv2.weight", "encoder.down.0.block.1.conv2.bias", "encoder.down.0.downsample.conv.weight", "encoder.down.0.downsample.conv.bias", "encoder.down.1.block.0.norm1.weight", "encoder.down.1.block.0.norm1.bias", "encoder.down.1.block.0.conv1.weight", "encoder.down.1.block.0.conv1.bias", "encoder.down.1.block.0.norm2.weight", "encoder.down.1.block.0.norm2.bias", "encoder.down.1.block.0.conv2.weight", "encoder.down.1.block.0.conv2.bias", "encoder.down.1.block.0.nin_shortcut.weight", "encoder.down.1.block.0.nin_shortcut.bias", "encoder.down.1.block.1.norm1.weight", "encoder.down.1.block.1.norm1.bias", "encoder.down.1.block.1.conv1.weight", "encoder.down.1.block.1.conv1.bias", "encoder.down.1.block.1.norm2.weight", "encoder.down.1.block.1.norm2.bias", "encoder.down.1.block.1.conv2.weight", "encoder.down.1.block.1.conv2.bias", "encoder.down.1.downsample.conv.weight", "encoder.down.1.downsample.conv.bias", "encoder.down.2.block.0.norm1.weight", "encoder.down.2.block.0.norm1.bias", "encoder.down.2.block.0.conv1.weight", "encoder.down.2.block.0.conv1.bias", "encoder.down.2.block.0.norm2.weight", "encoder.down.2.block.0.norm2.bias", "encoder.down.2.block.0.conv2.weight", "encoder.down.2.block.0.conv2.bias", "encoder.down.2.block.0.nin_shortcut.weight", "encoder.down.2.block.0.nin_shortcut.bias", "encoder.down.2.block.1.norm1.weight", "encoder.down.2.block.1.norm1.bias", "encoder.down.2.block.1.conv1.weight", "encoder.down.2.block.1.conv1.bias", "encoder.down.2.block.1.norm2.weight", "encoder.down.2.block.1.norm2.bias", "encoder.down.2.block.1.conv2.weight", "encoder.down.2.block.1.conv2.bias", "encoder.down.2.downsample.conv.weight", "encoder.down.2.downsample.conv.bias", "encoder.down.3.block.0.norm1.weight", "encoder.down.3.block.0.norm1.bias", "encoder.down.3.block.0.conv1.weight", "encoder.down.3.block.0.conv1.bias", "encoder.down.3.block.0.norm2.weight", "encoder.down.3.block.0.norm2.bias", "encoder.down.3.block.0.conv2.weight", "encoder.down.3.block.0.conv2.bias", "encoder.down.3.block.1.norm1.weight", "encoder.down.3.block.1.norm1.bias", "encoder.down.3.block.1.conv1.weight", "encoder.down.3.block.1.conv1.bias", "encoder.down.3.block.1.norm2.weight", "encoder.down.3.block.1.norm2.bias", "encoder.down.3.block.1.conv2.weight", "encoder.down.3.block.1.conv2.bias", "encoder.mid.block_1.norm1.weight", "encoder.mid.block_1.norm1.bias", "encoder.mid.block_1.conv1.weight", "encoder.mid.block_1.conv1.bias", "encoder.mid.block_1.norm2.weight", "encoder.mid.block_1.norm2.bias", "encoder.mid.block_1.conv2.weight", "encoder.mid.block_1.conv2.bias", "encoder.mid.attn_1.norm.weight", "encoder.mid.attn_1.norm.bias", "encoder.mid.attn_1.q.weight", "encoder.mid.attn_1.q.bias", "encoder.mid.attn_1.k.weight", "encoder.mid.attn_1.k.bias", "encoder.mid.attn_1.v.weight", "encoder.mid.attn_1.v.bias", "encoder.mid.attn_1.proj_out.weight", "encoder.mid.attn_1.proj_out.bias", "encoder.mid.block_2.norm1.weight", "encoder.mid.block_2.norm1.bias", "encoder.mid.block_2.conv1.weight", "encoder.mid.block_2.conv1.bias", "encoder.mid.block_2.norm2.weight", "encoder.mid.block_2.norm2.bias", "encoder.mid.block_2.conv2.weight", "encoder.mid.block_2.conv2.bias", "encoder.norm_out.weight", "encoder.norm_out.bias", "decoder.mid.block_1.norm1.weight", "decoder.mid.block_1.norm1.bias", "decoder.mid.block_1.conv1.weight", "decoder.mid.block_1.conv1.bias", "decoder.mid.block_1.norm2.weight", "decoder.mid.block_1.norm2.bias", "decoder.mid.block_1.conv2.weight", "decoder.mid.block_1.conv2.bias", "decoder.mid.attn_1.norm.weight", "decoder.mid.attn_1.norm.bias", "decoder.mid.attn_1.q.weight", "decoder.mid.attn_1.q.bias", "decoder.mid.attn_1.k.weight", "decoder.mid.attn_1.k.bias", "decoder.mid.attn_1.v.weight", "decoder.mid.attn_1.v.bias", "decoder.mid.attn_1.proj_out.weight", "decoder.mid.attn_1.proj_out.bias", "decoder.mid.block_2.norm1.weight", "decoder.mid.block_2.norm1.bias", "decoder.mid.block_2.conv1.weight", "decoder.mid.block_2.conv1.bias", "decoder.mid.block_2.norm2.weight", "decoder.mid.block_2.norm2.bias", "decoder.mid.block_2.conv2.weight", "decoder.mid.block_2.conv2.bias", "decoder.up.0.block.0.norm1.weight", "decoder.up.0.block.0.norm1.bias", "decoder.up.0.block.0.conv1.weight", "decoder.up.0.block.0.conv1.bias", "decoder.up.0.block.0.norm2.weight", "decoder.up.0.block.0.norm2.bias", "decoder.up.0.block.0.conv2.weight", "decoder.up.0.block.0.conv2.bias", "decoder.up.0.block.0.nin_shortcut.weight", "decoder.up.0.block.0.nin_shortcut.bias", "decoder.up.0.block.1.norm1.weight", "decoder.up.0.block.1.norm1.bias", "decoder.up.0.block.1.conv1.weight", "decoder.up.0.block.1.conv1.bias", "decoder.up.0.block.1.norm2.weight", "decoder.up.0.block.1.norm2.bias", "decoder.up.0.block.1.conv2.weight", "decoder.up.0.block.1.conv2.bias", "decoder.up.0.block.2.norm1.weight", "decoder.up.0.block.2.norm1.bias", "decoder.up.0.block.2.conv1.weight", "decoder.up.0.block.2.conv1.bias", "decoder.up.0.block.2.norm2.weight", "decoder.up.0.block.2.norm2.bias", "decoder.up.0.block.2.conv2.weight", "decoder.up.0.block.2.conv2.bias", "decoder.up.1.block.0.norm1.weight", "decoder.up.1.block.0.norm1.bias", "decoder.up.1.block.0.conv1.weight", "decoder.up.1.block.0.conv1.bias", "decoder.up.1.block.0.norm2.weight", "decoder.up.1.block.0.norm2.bias", "decoder.up.1.block.0.conv2.weight", "decoder.up.1.block.0.conv2.bias", "decoder.up.1.block.0.nin_shortcut.weight", "decoder.up.1.block.0.nin_shortcut.bias", "decoder.up.1.block.1.norm1.weight", "decoder.up.1.block.1.norm1.bias", "decoder.up.1.block.1.conv1.weight", "decoder.up.1.block.1.conv1.bias", "decoder.up.1.block.1.norm2.weight", "decoder.up.1.block.1.norm2.bias", "decoder.up.1.block.1.conv2.weight", "decoder.up.1.block.1.conv2.bias", "decoder.up.1.block.2.norm1.weight", "decoder.up.1.block.2.norm1.bias", "decoder.up.1.block.2.conv1.weight", "decoder.up.1.block.2.conv1.bias", "decoder.up.1.block.2.norm2.weight", "decoder.up.1.block.2.norm2.bias", "decoder.up.1.block.2.conv2.weight", "decoder.up.1.block.2.conv2.bias", "decoder.up.1.upsample.conv.weight", "decoder.up.1.upsample.conv.bias", "decoder.up.2.block.0.norm1.weight", "decoder.up.2.block.0.norm1.bias", "decoder.up.2.block.0.conv1.weight", "decoder.up.2.block.0.conv1.bias", "decoder.up.2.block.0.norm2.weight", "decoder.up.2.block.0.norm2.bias", "decoder.up.2.block.0.conv2.weight", "decoder.up.2.block.0.conv2.bias", "decoder.up.2.block.1.norm1.weight", "decoder.up.2.block.1.norm1.bias", "decoder.up.2.block.1.conv1.weight", "decoder.up.2.block.1.conv1.bias", "decoder.up.2.block.1.norm2.weight", "decoder.up.2.block.1.norm2.bias", "decoder.up.2.block.1.conv2.weight", "decoder.up.2.block.1.conv2.bias", "decoder.up.2.block.2.norm1.weight", "decoder.up.2.block.2.norm1.bias", "decoder.up.2.block.2.conv1.weight", "decoder.up.2.block.2.conv1.bias", "decoder.up.2.block.2.norm2.weight", "decoder.up.2.block.2.norm2.bias", "decoder.up.2.block.2.conv2.weight", "decoder.up.2.block.2.conv2.bias", "decoder.up.2.upsample.conv.weight", "decoder.up.2.upsample.conv.bias", "decoder.up.3.block.0.norm1.weight", "decoder.up.3.block.0.norm1.bias", "decoder.up.3.block.0.conv1.weight", "decoder.up.3.block.0.conv1.bias", "decoder.up.3.block.0.norm2.weight", "decoder.up.3.block.0.norm2.bias", "decoder.up.3.block.0.conv2.weight", "decoder.up.3.block.0.conv2.bias", "decoder.up.3.block.1.norm1.weight", "decoder.up.3.block.1.norm1.bias", "decoder.up.3.block.1.conv1.weight", "decoder.up.3.block.1.conv1.bias", "decoder.up.3.block.1.norm2.weight", "decoder.up.3.block.1.norm2.bias", "decoder.up.3.block.1.conv2.weight", "decoder.up.3.block.1.conv2.bias", "decoder.up.3.block.2.norm1.weight", "decoder.up.3.block.2.norm1.bias", "decoder.up.3.block.2.conv1.weight", "decoder.up.3.block.2.conv1.bias", "decoder.up.3.block.2.norm2.weight", "decoder.up.3.block.2.norm2.bias", "decoder.up.3.block.2.conv2.weight", "decoder.up.3.block.2.conv2.bias", "decoder.up.3.upsample.conv.weight", "decoder.up.3.upsample.conv.bias", "decoder.norm_out.weight", "decoder.norm_out.bias".
        Unexpected key(s) in state_dict: "encoder.conv_norm_out.bias", "encoder.conv_norm_out.weight", "encoder.down_blocks.0.downsamplers.0.conv.bias", "encoder.down_blocks.0.downsamplers.0.conv.weight", "encoder.down_blocks.0.resnets.0.conv1.bias", "encoder.down_blocks.0.resnets.0.conv1.weight", "encoder.down_blocks.0.resnets.0.conv2.bias", "encoder.down_blocks.0.resnets.0.conv2.weight", "encoder.down_blocks.0.resnets.0.norm1.bias", "encoder.down_blocks.0.resnets.0.norm1.weight", "encoder.down_blocks.0.resnets.0.norm2.bias", "encoder.down_blocks.0.resnets.0.norm2.weight", "encoder.down_blocks.0.resnets.1.conv1.bias", "encoder.down_blocks.0.resnets.1.conv1.weight", "encoder.down_blocks.0.resnets.1.conv2.bias", "encoder.down_blocks.0.resnets.1.conv2.weight", "encoder.down_blocks.0.resnets.1.norm1.bias", "encoder.down_blocks.0.resnets.1.norm1.weight", "encoder.down_blocks.0.resnets.1.norm2.bias", "encoder.down_blocks.0.resnets.1.norm2.weight", "encoder.down_blocks.1.downsamplers.0.conv.bias", "encoder.down_blocks.1.downsamplers.0.conv.weight", "encoder.down_blocks.1.resnets.0.conv1.bias", "encoder.down_blocks.1.resnets.0.conv1.weight", "encoder.down_blocks.1.resnets.0.conv2.bias", "encoder.down_blocks.1.resnets.0.conv2.weight", "encoder.down_blocks.1.resnets.0.conv_shortcut.bias", "encoder.down_blocks.1.resnets.0.conv_shortcut.weight", "encoder.down_blocks.1.resnets.0.norm1.bias", "encoder.down_blocks.1.resnets.0.norm1.weight", "encoder.down_blocks.1.resnets.0.norm2.bias", "encoder.down_blocks.1.resnets.0.norm2.weight", "encoder.down_blocks.1.resnets.1.conv1.bias", "encoder.down_blocks.1.resnets.1.conv1.weight", "encoder.down_blocks.1.resnets.1.conv2.bias", "encoder.down_blocks.1.resnets.1.conv2.weight", "encoder.down_blocks.1.resnets.1.norm1.bias", "encoder.down_blocks.1.resnets.1.norm1.weight", "encoder.down_blocks.1.resnets.1.norm2.bias", "encoder.down_blocks.1.resnets.1.norm2.weight", 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Stable diffusion model failed to load
Traceback (most recent call last):
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\routes.py", line 488, in run_predict
    output = await app.get_blocks().process_api(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\blocks.py", line 1431, in process_api
    result = await self.call_function(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\blocks.py", line 1103, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\system\python\lib\site-packages\gradio\utils.py", line 707, in wrapper
    response = f(*args, **kwargs)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 703, in pages_html
    create_html()
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 699, in create_html
    ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 699, in <listcomp>
    ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 518, in create_html
    self.items = {x["name"]: x for x in items_list}
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\modules\ui_extra_networks.py", line 518, in <dictcomp>
    self.items = {x["name"]: x for x in items_list}
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\extensions-builtin\Lora\ui_extra_networks_lora.py", line 82, in list_items
    item = self.create_item(name, index)
  File "D:\Program Files\StableDiffusion\webui_forge_cu121_torch21\webui\extensions-builtin\Lora\ui_extra_networks_lora.py", line 69, in create_item
    elif shared.sd_model.is_sdxl and sd_version != network.SdVersion.SDXL:
AttributeError: 'NoneType' object has no attribute 'is_sdxl'

Additional information

The Console logs are split into two parts by spaces, the first part is repeated a few times, then the second part. It didn't happen some times but I can't pinpoint what fixed it. It doesn't happen when I remove all models. I have ckpts of 175GB, loras of 19.9GB. I've tried common solutions to this problem, add "--disable-safe-unpickle", update Graphics Driver, Increase the Virtual Memory, all doesn't work. And the A1111 webui doesn't have the problem, so I'm pretty sure thats a new bug with forge. I have a guess that it might be affected by the currently loaded model, but it's hard to verify without being able to load any models.

ZerasSunn commented 7 months ago

I reinstalled forge without aaaki manager, the problem has been fixed by…F5 refresh, at the begining. Models loaded after browser refresh. But after start up a few times, the problem comes back, and refresh doesn't work anymore.

Cupid-ljy commented 3 months ago

It is possible that the model is damaged. Extract the model and reload it. But I don’t know how to check which model has a problem.