instruct-pix2pix-00-22000.safetensors does not works with forge

Checklist

[ ] The issue exists after disabling all extensions
[x] The issue exists on a clean installation of webui
[ ] The issue is caused by an extension, but I believe it is caused by a bug in the webui
[x] The issue exists in the current version of the webui
[x] The issue has not been reported before recently
[ ] The issue has been reported before but has not been fixed yet

What happened?

The model instruct-pix2pix-00-22000.safetensors does not work with forge. It works fine with A1111

Steps to reproduce the problem

Simple try to use instruct-pix2pix-00-22000.safetensors with any image do something like make it red

What should have happened?

Should have modified the image

What browsers do you use to access the UI ?

Mozilla Firefox

Sysinfo

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"cuda_compiled_version": "12.1", "gcc_version": null, "clang_version": null, "cmake_version": null, "os": "Microsoft Windows 11 Pro", "libc_version": "N/A", "python_version": "3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)] (64-bit runtime)", "python_platform": "Windows-10-10.0.22631-SP0", "is_cuda_available": "True", "cuda_runtime_version": null, "cuda_module_loading": "LAZY", "nvidia_driver_version": "551.23", "nvidia_gpu_models": "GPU 0: NVIDIA GeForce RTX 4060 Laptop GPU", "cudnn_version": null, "pip_version": "pip3", "pip_packages": [ "numpy==1.26.2", "open-clip-torch==2.20.0", "pytorch-lightning==1.9.4", "torch==2.1.2+cu121", "torchdiffeq==0.2.3", "torchmetrics==1.3.0.post0", "torchsde==0.2.6", "torchvision==0.16.2+cu121" ], "conda_packages": null, "hip_compiled_version": "N/A", "hip_runtime_version": "N/A", "miopen_runtime_version": "N/A", "caching_allocator_config": "", "is_xnnpack_available": "True", "cpu_info": [ "Architecture=9", "CurrentClockSpeed=2200", "DeviceID=CPU0", "Family=207", "L2CacheSize=32768", "L2CacheSpeed=", "Manufacturer=GenuineIntel", "MaxClockSpeed=2200", "Name=13th Gen Intel(R) Core(TM) i9-13980HX", "ProcessorType=3", "Revision=" ] }, "Exceptions": [ { "exception": "'NoneType' object is not iterable", "traceback": [ [ "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\call_queue.py, line 57, f", "res = list(func(*args, **kwargs))" ] ] } ], "CPU": { "model": "Intel64 Family 6 Model 183 Stepping 1, GenuineIntel", "count logical": 32, "count physical": 24 }, "RAM": { "total": "64GB", "used": "15GB", "free": "49GB" }, "Extensions": [], "Inactive extensions": [], "Environment": { "COMMANDLINE_ARGS": " --ckpt-dir D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/models/Stable-diffusion --hypernetwork-dir D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/models/hypernetworks --embeddings-dir D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/embeddings 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"filterpy==1.4.5", "flatbuffers==23.5.26", "fonttools==4.47.2", "frozenlist==1.4.1", "fsspec==2024.2.0", "ftfy==6.1.3", "future==0.18.3", "fvcore==0.1.5.post20221221", "gitdb==4.0.11", "gitpython==3.1.32", "gradio-client==0.5.0", "gradio==3.41.2", "grpcio==1.60.1", "h11==0.12.0", "handrefinerportable==2024.2.12.0", "httpcore==0.15.0", "httpx==0.24.1", "huggingface-hub==0.20.3", "humanfriendly==10.0", "idna==3.6", "imageio==2.33.1", "importlib-metadata==7.0.1", "importlib-resources==6.1.1", "inflection==0.5.1", "insightface==0.7.3", "iopath==0.1.9", "jinja2==3.1.3", "joblib==1.3.2", "jsonmerge==1.8.0", "jsonschema-specifications==2023.12.1", "jsonschema==4.21.1", "kiwisolver==1.4.5", "kornia==0.6.7", "lark==1.1.2", "lazy-loader==0.3", "lightning-utilities==0.10.1", "llvmlite==0.42.0", "lmdb==1.4.1", "lxml==5.1.0", "mapbox-earcut==1.0.1", "markdown==3.5.2", "markupsafe==2.1.5", "matplotlib==3.8.2", "mediapipe==0.10.9", "mpmath==1.3.0", "multidict==6.0.5", "networkx==3.2.1", "numba==0.59.0", "numpy==1.26.2", "omegaconf==2.2.3", "onnx==1.15.0", "onnxruntime==1.17.0", "open-clip-torch==2.20.0", "opencv-contrib-python==4.9.0.80", "opencv-python-headless==4.9.0.80", "opencv-python==4.9.0.80", "orjson==3.9.13", "packaging==23.2", "pandas==2.2.0", "piexif==1.1.3", "pillow==9.5.0", "pip==24.0", "platformdirs==4.2.0", "portalocker==2.8.2", "prettytable==3.9.0", "protobuf==3.20.0", "psutil==5.9.5", "pycollada==0.8", "pycparser==2.21", "pydantic==1.10.14", "pydub==0.25.1", "pyparsing==3.1.1", "pyreadline3==3.4.1", "python-dateutil==2.8.2", "python-multipart==0.0.7", "pytorch-lightning==1.9.4", "pytz==2024.1", "pywavelets==1.5.0", "pywin32==306", "pyyaml==6.0.1", "qudida==0.0.4", "referencing==0.33.0", "regex==2023.12.25", "reportlab==4.1.0", "requests==2.31.0", "resize-right==0.0.2", "rpds-py==0.17.1", "rtree==1.2.0", "safetensors==0.4.2", "scikit-image==0.21.0", "scikit-learn==1.4.0", "scipy==1.12.0", "semantic-version==2.10.0", "sentencepiece==0.1.99", "setuptools==69.0.3", "shapely==2.0.2", "six==1.16.0", "smmap==5.0.1", "sniffio==1.3.0", "sounddevice==0.4.6", "spandrel==0.1.6", "starlette==0.26.1", "svg.path==6.3", "svglib==1.5.1", "sympy==1.12", "tabulate==0.9.0", "tb-nightly==2.16.0a20240204", "tensorboard-data-server==0.7.2", "termcolor==2.4.0", "tf-keras-nightly==2.16.0.dev2024020410", "threadpoolctl==3.2.0", "tifffile==2024.1.30", "timm==0.9.12", "tinycss2==1.2.1", "tokenizers==0.13.3", "tomesd==0.1.3", "tomli==2.0.1", "toolz==0.12.1", "torch==2.1.2+cu121", "torchdiffeq==0.2.3", "torchmetrics==1.3.0.post0", "torchsde==0.2.6", "torchvision==0.16.2+cu121", "tqdm==4.66.2", "trampoline==0.1.2", "transformers==4.30.2", "trimesh==4.1.3", "typing-extensions==4.9.0", "tzdata==2023.4", "urllib3==2.2.0", "uvicorn==0.27.0.post1", "vhacdx==0.0.5", "wcwidth==0.2.13", "webencodings==0.5.1", "websockets==11.0.3", "werkzeug==3.0.1", "wheel==0.42.0", "xxhash==3.4.1", "yacs==0.1.8", "yapf==0.40.2", "yarl==1.9.4", "zipp==3.17.0" ] }

Console logs

Calculating sha256 for D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/models/Stable-diffusion\SD1_5\instruct-pix2pix-00-22000.safetensors: fbc31a67aab29ad38eef622a252d3fa4b0a81d4a4dc65da416cf45b13aa67688
Loading weights [fbc31a67aa] from D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/models/Stable-diffusion\SD1_5\instruct-pix2pix-00-22000.safetensors
LatentDiffusion: Running in eps-prediction mode
Traceback (most recent call last):
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\main_thread.py", line 37, in loop
    task.work()
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\main_thread.py", line 26, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\sd_models.py", line 628, in reload_model_weights
    return load_model(info)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\sd_models.py", line 585, in load_model
    sd_model = forge_loader.load_model_for_a1111(timer=timer, checkpoint_info=checkpoint_info, state_dict=state_dict)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\forge_loader.py", line 154, in load_model_for_a1111
    forge_objects = load_checkpoint_guess_config(
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\forge_loader.py", line 104, in load_checkpoint_guess_config
    model = model_config.get_model(sd, "model.diffusion_model.", device=inital_load_device)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\ldm_patched\modules\supported_models.py", line 278, in get_model
    out = model_base.Stable_Zero123(self, device=device, cc_projection_weight=state_dict["cc_projection.weight"], cc_projection_bias=state_dict["cc_projection.bias"])
KeyError: 'cc_projection.weight'
'cc_projection.weight'
Loading weights [fbc31a67aa] from D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/models/Stable-diffusion\SD1_5\instruct-pix2pix-00-22000.safetensors
LatentDiffusion: Running in eps-prediction mode
Traceback (most recent call last):
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\main_thread.py", line 37, in loop
    task.work()
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\main_thread.py", line 26, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\img2img.py", line 236, in img2img_function    processed = process_images(p)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\processing.py", line 737, in process_images
    sd_models.reload_model_weights()
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\sd_models.py", line 628, in reload_model_weights
    return load_model(info)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\sd_models.py", line 585, in load_model
    sd_model = forge_loader.load_model_for_a1111(timer=timer, checkpoint_info=checkpoint_info, state_dict=state_dict)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\system\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\forge_loader.py", line 154, in load_model_for_a1111
    forge_objects = load_checkpoint_guess_config(
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules_forge\forge_loader.py", line 104, in load_checkpoint_guess_config
    model = model_config.get_model(sd, "model.diffusion_model.", device=inital_load_device)
  File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\ldm_patched\modules\supported_models.py", line 278, in get_model
    out = model_base.Stable_Zero123(self, device=device, cc_projection_weight=state_dict["cc_projection.weight"], cc_projection_bias=state_dict["cc_projection.bias"])
KeyError: 'cc_projection.weight'
'cc_projection.weight'
*** Error completing request
*** Arguments: ('task(tzgcvh2gj20jr0l)', 0, 'make it red', '', [], <PIL.Image.Image image mode=RGBA size=696x512 at 0x1521797A260>, None, None, None, None, None, None, 20, 'DPM++ 2M Karras', 4, 0, 1, 1, 1, 7, 1.5, 0.75, 0.0, 512, 696, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x00000152171F71F0>, 0, False, 1, 0.5, 4, 0, 0.5, 2, False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=<InputMode.SIMPLE: 'simple'>, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, 0.5, 2, False, '* `CFG Scale` should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, 'start', '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
    Traceback (most recent call last):
      File "D:\ai-art-generators\webui_forge_cu121_torch21_personal\webui\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
    TypeError: 'NoneType' object is not iterable

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Additional information

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lllyasviel / stable-diffusion-webui-forge