[Bug]: Fix IMG2IMG Alternative Test Script to Work with SDXL

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

What happened?

Script does not work with any SDXL checkpoint. This tool is honestly one of the best tools to date for animation. You can use it to prestylize frames then send them through AnimateDiff for clean up. It's incredible and DESPERATLY NEEDS TO WORK FOR SDXL <3

Steps to reproduce the problem

1) Unroll Scripts tab in img2img 2) activate Img2Img alternative test 3) Press generate

What should have happened?

It's my understanding that this script flips the sigmas such that the diffusion process runs in reverse to generate noise from a source image. Works perfectly fine with 1.5 checkpoints and produces incredible outputs. Works fine in ComfyUI but unfortunately comfy cannot compete with Forge / auto1111 's image generation and as such having this script work for SDXL would allow me to pre process all of my images with Forge instead of comfy.

What browsers do you use to access the UI ?

No response

Sysinfo

sysinfo-2024-03-21-03-21.json

Console logs

venv "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec  6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]
Version: v1.8.0
Commit hash: bef51aed032c0aaa5cfd80445bc4cf0d85b408b5
Launching Web UI with arguments:
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
ControlNet preprocessor location: C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads
2024-03-20 21:16:01,875 - ControlNet - INFO - ControlNet v1.1.441
2024-03-20 21:16:01,938 - ControlNet - INFO - ControlNet v1.1.441
Loading weights [354b8c571d] from C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\models\Stable-diffusion\15\aamAnyloraAnimeMixAnime_v1.safetensors
2024-03-20 21:16:02,190 - ControlNet - INFO - ControlNet UI callback registered.
Creating model from config: C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\configs\v1-inference.yaml
Running on local URL:  http://127.0.0.1:7861

To create a public link, set `share=True` in `launch()`.
Startup time: 7.4s (prepare environment: 1.6s, import torch: 2.7s, import gradio: 0.7s, setup paths: 0.6s, initialize shared: 0.2s, other imports: 0.3s, load scripts: 0.6s, create ui: 0.4s, gradio launch: 0.2s).
Applying attention optimization: Doggettx... done.
Model loaded in 2.4s (load weights from disk: 0.4s, create model: 0.2s, apply weights to model: 1.5s, load textual inversion embeddings: 0.1s, calculate empty prompt: 0.1s).
Reusing loaded model 15\aamAnyloraAnimeMixAnime_v1.safetensors [354b8c571d] to load XL\aamXLAnimeMix_v10.safetensors [d48c2391e0]
Loading weights [d48c2391e0] from C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\models\Stable-diffusion\XL\aamXLAnimeMix_v10.safetensors
Creating model from config: C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\repositories\generative-models\configs\inference\sd_xl_base.yaml
Applying attention optimization: Doggettx... done.
Model loaded in 5.8s (create model: 0.6s, apply weights to model: 4.7s, apply half(): 0.2s, move model to device: 0.1s, calculate empty prompt: 0.1s).
  0%|                                                                                           | 0/50 [00:00<?, ?it/s]
*** Error completing request
*** Arguments: ('task(ws73ws3603iw4cz)', 0, '', '', [], <PIL.Image.Image image mode=RGBA size=1024x1024 at 0x1CBA5A0F910>, None, None, None, None, None, None, 20, 'Euler', 4, 0, 1, 1, 1, 7, 1.5, 0.75, 0.0, 1024, 1024, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x000001CBA5A2BE50>, 1, False, 1, 0.5, 4, 0, 0.5, 2, False, '', 0.8, -1, False, -1, 0, 0, 0, UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', inpaint_crop_input_image=False, hr_option='Both', save_detected_map=True, advanced_weighting=None), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', inpaint_crop_input_image=False, hr_option='Both', save_detected_map=True, advanced_weighting=None), UiControlNetUnit(enabled=False, module='none', model='None', weight=1, image=None, resize_mode='Crop and Resize', low_vram=False, processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', inpaint_crop_input_image=False, hr_option='Both', save_detected_map=True, advanced_weighting=None), '* `CFG Scale` should be 2 or lower.', True, True, '', '', True, 50, True, 1, 0, True, 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, None, None, False, None, None, False, None, None, False, 50) {}
    Traceback (most recent call last):
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\modules\call_queue.py", line 57, in f
        res = list(func(*args, **kwargs))
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\modules\call_queue.py", line 36, in f
        res = func(*args, **kwargs)
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\modules\img2img.py", line 233, in img2img
        processed = modules.scripts.scripts_img2img.run(p, *args)
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\modules\scripts.py", line 766, in run
        processed = script.run(p, *script_args)
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\scripts\img2imgalt.py", line 216, in run
        processed = processing.process_images(p)
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\modules\processing.py", line 785, in process_images
        res = process_images_inner(p)
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 59, in processing_process_images_hijack
        return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\modules\processing.py", line 921, 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\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\scripts\img2imgalt.py", line 188, in sample_extra
        rec_noise = find_noise_for_image_sigma_adjustment(p, cond, uncond, cfg, st)
      File "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\scripts\img2imgalt.py", line 85, in find_noise_for_image_sigma_adjustment
        cond_in = torch.cat([uncond, cond])
    TypeError: expected Tensor as element 0 in argument 0, but got dict

---

Additional information

No response

Just tested with 1.5 checkpoints in Forge as well. It doesn't even appear to work with 1.5 whereas auto1111 at least works with 1.5 checkpoints.

Console log below

venv "C:\Users\infer\OneDrive\Documents\Auto1111\stable-diffusion-webui\venv\Scripts\Python.exe" Python 3.10.9 (tags/v3.10.9:1dd9be6, Dec 6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)] Version: f0.0.17v1.8.0rc-latest-276-g29be1da7 Commit hash: 29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7 Path C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui\models\Stable-diffusion does not exist. Skip setting --ckpt-dir Path C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui\models\VAE does not exist. Skip setting --vae-dir Path C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui\models\hypernetworks does not exist. Skip setting --hypernetwork-dir Path C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui\embeddings does not exist. Skip setting --embeddings-dir Path C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui\models\lora does not exist. Skip setting --lora-dir Path C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui\models\ControlNet does not exist. Skip setting --controlnet-dir Path C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui\extensions\sd-webui-controlnet\annotator\downloads does not exist. Skip setting --controlnet-preprocessor-models-dir Launching Web UI with arguments: --forge-ref-a1111-home C:UsersinferOneDriveDocumentsAuto1111stable-diffusion-webui Total VRAM 24564 MB, total RAM 65277 MB Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 4090 : 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.bfloat16 CUDA Stream Activated: False Using pytorch cross attention ControlNet preprocessor location: D:\FORGE\stable-diffusion-webui-forge\models\ControlNetPreprocessor Calculating sha256 for D:\FORGE\stable-diffusion-webui-forge\models\Stable-diffusion\aamAnyloraAnimeMixAnime_v1.safetensors: 2024-03-20 21:36:47,768 - ControlNet - INFO - ControlNet UI callback registered. Running on local URL: http://127.0.0.1:7860

To create a public link, set share=True in launch(). Startup time: 8.3s (prepare environment: 1.9s, import torch: 2.8s, import gradio: 0.6s, setup paths: 0.6s, other imports: 0.4s, load scripts: 1.2s, create ui: 0.3s, gradio launch: 0.3s). 354b8c571d3abe963e1520d3b4e0647be519841f4376fc5d16f7f5e7859f7d49 Loading weights [354b8c571d] from D:\FORGE\stable-diffusion-webui-forge\models\Stable-diffusion\aamAnyloraAnimeMixAnime_v1.safetensors 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.logit_scale', 'cond_stage_model.clip_l.text_projection'} left over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'log_one_minus_alphas_cumprod', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod']) To load target model SD1ClipModel Begin to load 1 model [Memory Management] Current Free GPU Memory (MB) = 23007.9990234375 [Memory Management] Model Memory (MB) = 454.2076225280762 [Memory Management] Minimal Inference Memory (MB) = 1024.0 [Memory Management] Estimated Remaining GPU Memory (MB) = 21529.791400909424 Moving model(s) has taken 0.17 seconds Model loaded in 4.9s (calculate hash: 3.3s, forge load real models: 0.8s, load VAE: 0.3s, calculate empty prompt: 0.5s). To load target model AutoencoderKL Begin to load 1 model [Memory Management] Current Free GPU Memory (MB) = 22587.94091796875 [Memory Management] Model Memory (MB) = 159.55708122253418 [Memory Management] Minimal Inference Memory (MB) = 1024.0 [Memory Management] Estimated Remaining GPU Memory (MB) = 21404.383836746216 Moving model(s) has taken 0.12 seconds Traceback (most recent call last): File "D:\FORGE\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop task.work() File "D:\FORGE\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work self.result = self.func(*self.args, self.kwargs) File "D:\FORGE\stable-diffusion-webui-forge\modules\img2img.py", line 234, in img2img_function processed = modules.scripts.scripts_img2img.run(p, args) File "D:\FORGE\stable-diffusion-webui-forge\modules\scripts.py", line 785, in run processed = script.run(p, script_args) File "D:\FORGE\stable-diffusion-webui-forge\scripts\img2imgalt.py", line 216, in run processed = processing.process_images(p) File "D:\FORGE\stable-diffusion-webui-forge\modules\processing.py", line 752, in process_images res = process_images_inner(p) File "D:\FORGE\stable-diffusion-webui-forge\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 "D:\FORGE\stable-diffusion-webui-forge\scripts\img2imgalt.py", line 173, in sample_extra lat = (p.init_latent.cpu().numpy() 10).astype(int) TypeError: Got unsupported ScalarType BFloat16 Got unsupported ScalarType BFloat16 Error completing request * Arguments: ('task(8vtb2o7d4h4wvdl)', 0, 'anime screencap, medieval man with long hair, masterpiece, best quality, illustration,', '(worst quality, bad quality:1.4)', [], <PIL.Image.Image image mode=RGBA size=1024x1024 at 0x221A61AA860>, None, None, None, None, None, None, 20, 'Euler', 4, 0, 1, 1, 1, 7, 1.5, 0.75, 0.0, 1024, 1024, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x00000221A61AA740>, 1, 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='control_v11f1e_sd15_tile [a371b31b]', weight=0.5, 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='ControlNet is more important', 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, ' CFG Scale should be 2 or lower.', True, False, '', '', False, 25, False, 1, 0, True, 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:\FORGE\stable-diffusion-webui-forge\modules\call_queue.py", line 57, in f res = list(func(args, kwargs)) TypeError: 'NoneType' object is not iterable

2024-03-20 21:39:00,932 - ControlNet - INFO - ControlNet Input Mode: InputMode.SIMPLE 2024-03-20 21:39:01,050 - ControlNet - INFO - Using preprocessor: None 2024-03-20 21:39:01,050 - ControlNet - INFO - preprocessor resolution = 1024 Warning torch.load doesn't support weights_only on this pytorch version, loading unsafely. [] [] 2024-03-20 21:39:03,926 - ControlNet - INFO - Current ControlNet ControlNetPatcher: D:\FORGE\stable-diffusion-webui-forge\models\ControlNet\control_v11f1e_sd15_tile.pth 2024-03-20 21:39:04,327 - ControlNet - INFO - ControlNet Method None patched. To load target model BaseModel To load target model ControlNet Begin to load 2 models [Memory Management] Current Free GPU Memory (MB) = 22430.1904296875 [Memory Management] Model Memory (MB) = 1639.4137649536133 [Memory Management] Minimal Inference Memory (MB) = 1024.0 [Memory Management] Estimated Remaining GPU Memory (MB) = 19766.776664733887 [Memory Management] Current Free GPU Memory (MB) = 20777.68798828125 [Memory Management] Model Memory (MB) = 689.0852355957031 [Memory Management] Minimal Inference Memory (MB) = 1024.0 [Memory Management] Estimated Remaining GPU Memory (MB) = 19064.602752685547 Moving model(s) has taken 0.72 seconds 100%|██████████████████████████████████████████████████████████████████████████████████| 16/16 [00:03<00:00, 5.26it/s] Total progress: 100%|██████████████████████████████████████████████████████████████████| 16/16 [00:03<00:00, 4.81it/s] 2024-03-20 21:39:21,217 - ControlNet - INFO - ControlNet Input Mode: InputMode.SIMPLE██| 16/16 [00:03<00:00, 5.89it/s] 2024-03-20 21:39:21,286 - ControlNet - INFO - Using preprocessor: None 2024-03-20 21:39:21,286 - ControlNet - INFO - preprocessor resolution = 1024 2024-03-20 21:39:21,306 - ControlNet - INFO - Current ControlNet ControlNetPatcher: D:\FORGE\stable-diffusion-webui-forge\models\ControlNet\control_v11f1e_sd15_tile.pth Traceback (most recent call last): File "D:\FORGE\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop task.work() File "D:\FORGE\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work self.result = self.func(*self.args, self.kwargs) File "D:\FORGE\stable-diffusion-webui-forge\modules\img2img.py", line 234, in img2img_function processed = modules.scripts.scripts_img2img.run(p, args) File "D:\FORGE\stable-diffusion-webui-forge\modules\scripts.py", line 785, in run processed = script.run(p, script_args) File "D:\FORGE\stable-diffusion-webui-forge\scripts\img2imgalt.py", line 216, in run processed = processing.process_images(p) File "D:\FORGE\stable-diffusion-webui-forge\modules\processing.py", line 752, in process_images res = process_images_inner(p) File "D:\FORGE\stable-diffusion-webui-forge\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 "D:\FORGE\stable-diffusion-webui-forge\scripts\img2imgalt.py", line 173, in sample_extra lat = (p.init_latent.cpu().numpy() 10).astype(int) TypeError: Got unsupported ScalarType BFloat16 Got unsupported ScalarType BFloat16 Error completing request * Arguments: ('task(hjo8wygy9wrowuk)', 0, 'anime screencap, medieval man with long hair, masterpiece, best quality, illustration,', '(worst quality, bad quality:1.4)', [], <PIL.Image.Image image mode=RGBA size=1024x1024 at 0x221A6B12290>, None, None, None, None, None, None, 20, 'Euler', 4, 0, 1, 1, 1, 7, 1.5, 0.75, 0.0, 1024, 1024, 1, 0, 0, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x00000221A6110070>, 1, 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=True, module='None', model='control_v11f1e_sd15_tile [a371b31b]', weight=0.5, image=None, resize_mode='Crop and Resize', processor_res=1024, threshold_a=0.5, threshold_b=0.5, guidance_start=0, guidance_end=1, pixel_perfect=True, control_mode='ControlNet is more important', 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, ' CFG Scale should be 2 or lower.', True, False, '', '', False, 25, False, 1, 0, True, 4, 0.5, 'Linear', 'None', '

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

lllyasviel / stable-diffusion-webui-forge