Read generation parameter bug.[Bug]:

Checklist

[X] 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
[ ] The issue has not been reported before recently
[ ] The issue has been reported before but has not been fixed yet

What happened?

As soon as I drag and drop image into the webui and press "read generation parameter button" it not working anymore. "TypeError: 'NoneType' object is not iterable"

Steps to reproduce the problem

0.Fresh install forge Ui. 1.Press update.bat then Run.bat 2.Generate something with V51 model [working fine] 3.Download pony base model 4.Drop image showcase from this model https://civitai.com/models/405136/zonkey-realism into the webui 5.press "read generation parameter button" to copy the setting 6.press generate image 7.It will show TypeError: 'NoneType' object is not iterable 8.After that it will keep showing "TypeError: 'NoneType' object is not iterable" even after I close the console and reopen the webui to use V51 model and press generate with default setting and empty prompt.

What should have happened?

It should generate some image.

What browsers do you use to access the UI ?

Google Chrome

Sysinfo

sysinfo-2024-06-23-21-00.json

Console logs

Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug  1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f0.0.17v1.8.0rc-latest-277-g0af28699
Commit hash: 0af28699c45c1c5bf9cb6818caac6ce881123131
Installing forge_legacy_preprocessor requirement: changing opencv-python version from 4.10.0.84 to 4.8.0
Installing sd-forge-controlnet requirement: changing opencv-python version from 4.10.0.84 to 4.8.0
Launching Web UI with arguments: --device-id 0
Total VRAM 8192 MB, total RAM 65409 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 2070 SUPER : native
Hint: your device supports --pin-shared-memory for potential speed improvements.
Hint: your device supports --cuda-malloc for potential speed improvements.
Hint: your device supports --cuda-stream for potential speed improvements.
VAE dtype: torch.float32
CUDA Stream Activated:  False
Using pytorch cross attention
ControlNet preprocessor location: C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\models\ControlNetPreprocessor
Loading weights [15012c538f] from C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\models\Stable-diffusion\realisticVisionV51_v51VAE.safetensors
2024-06-24 03:50:03,779 - ControlNet - INFO - ControlNet UI callback registered.
Running on local URL:  http://127.0.0.1:7860
model_type EPS
UNet ADM Dimension 0

To create a public link, set `share=True` in `launch()`.
Startup time: 22.5s (prepare environment: 9.7s, import torch: 5.1s, import gradio: 1.0s, setup paths: 1.1s, initialize shared: 0.2s, other imports: 0.7s, load scripts: 3.2s, create ui: 0.7s, gradio launch: 0.8s).
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.logit_scale', 'cond_stage_model.clip_l.text_projection'}
To load target model SD1ClipModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) =  7122.9990234375
[Memory Management] Model Memory (MB) =  454.2076225280762
[Memory Management] Minimal Inference Memory (MB) =  1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) =  5644.791400909424
Moving model(s) has taken 0.37 seconds
Model loaded in 4.8s (load weights from disk: 1.0s, forge load real models: 3.1s, calculate empty prompt: 0.6s).
To load target model BaseModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) =  6772.322265625
[Memory Management] Model Memory (MB) =  1639.4137649536133
[Memory Management] Minimal Inference Memory (MB) =  1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) =  4108.908500671387
Moving model(s) has taken 0.60 seconds
Traceback (most recent call last):
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules_forge\main_thread.py", line 37, in loop
    task.work()
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules_forge\main_thread.py", line 26, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules\txt2img.py", line 111, in txt2img_function
    processed = processing.process_images(p)
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules\processing.py", line 752, in process_images
    res = process_images_inner(p)
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules\processing.py", line 922, in process_images_inner
    samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules\processing.py", line 1275, in sample
    samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules\sd_samplers_kdiffusion.py", line 214, in sample
    sigmas = self.get_sigmas(p, steps).to(x.device)
  File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\webui\modules\sd_samplers_kdiffusion.py", line 111, in get_sigmas
    sigmas_func = k_diffusion_scheduler[opts.k_sched_type]
KeyError: 'Exponential'
'Exponential'
*** Error completing request
*** Arguments: ('task(5etu961v6ngvzs0)', <gradio.routes.Request object at 0x000002026BFFBCA0>, '', '', [], 20, 'DPM++ 2M Karras', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, 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, 0.5, 2, 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, False, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
    Traceback (most recent call last):
      File "C:\Users\PC\Desktop\webui_forge_cu121_torch21\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

No response

lllyasviel / stable-diffusion-webui-forge