lllyasviel / lllyasviel/stable-diffusion-webui-forge

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

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Description

### 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

{
"Platform": "Windows-10-10.0.22631-SP0",
"Python": "3.10.6",
"Version": "f0.0.12-latest-155-gd81e353d",
"Commit": "d81e353d8928147bbd973068d0efbb2802affe0f",
"Script path": "D:\\ai-art-generators\\webui_forge_cu121_torch21_personal\\webui",
"Data path": "D:\\ai-art-generators\\webui_forge_cu121_torch21_personal\\webui",
"Extensions dir": "D:\\ai-art-generators\\webui_forge_cu121_torch21_personal\\webui\\extensions",
"Checksum": "8fee746b459d372d8012ca93c7d4a3f3c421c0785fb6c1d9b741441b94375d6b",
"Commandline": [
"launch.py",
"--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",
"--lora-dir",
"D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/models/Lora"
],
"Torch env info": {
"torch_version": "2.1.2+cu121",
"is_debug_build": "False",
"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": [
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"torch==2.1.2+cu121",
"torchdiffeq==0.2.3",
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"torchsde==0.2.6",
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],
"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": [
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"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": {
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"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 --lora-dir D:/ai-art-generators/AUTOMATIC1111-method1/sd.webui/webui/models/Lora",
"GRADIO_ANALYTICS_ENABLED": "False"
},
"Config": {
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},
"Packages": [
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"addict==2.4.0",
"aenum==3.1.15",
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"humanfriendly==10.0",
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"pip==24.0",
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"protobuf==3.20.0",
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"pyreadline3==3.4.1",
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"python-multipart==0.0.7",
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"torch==2.1.2+cu121",
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]
}

### Console logs

```Shell
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', '', [], , 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, [], '', , 0, False, 1, 0.5, 4, 0, 0.5, 2, False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(input_mode=, 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=, 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=, 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', '

Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8

', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, 'start', '', '

Will upscale the image by the selected scale factor; use width and height sliders to set tile size

', 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

---
```

### Additional information

_No response_

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Reproduce the failure using instruct-pix2pix-00-22000.safetensors with an input image and inspect the exception reported at modules/call_queue.py line 57. Compare the Forge behavior with A1111 as described in the issue, then verify that the model modifies the image successfully without the NoneType error.

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
Mostly clear
Newbie friendliness
35/100

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