stable-diffusion-webui-forge
stable-diffusion-webui-forge copied to clipboard
[Bug]: dynhalfconsinecfg in integrated latentmodifier does not work when batch size > 2
Checklist
- [ ] The issue exists after disabling all extensions
- [ ] 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
- [ ] 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?
- Set batch size to 2
- Select dyncfg-halfcosine in the included latent modifier
- Image would fail to generate
Steps to reproduce the problem
- Set batch size to 2
- Select dyncfg-halfcosine in the included latent modifier
- Image would fail to generate
What should have happened?
Image should be generated or proper warning in place
What browsers do you use to access the UI ?
Mozilla Firefox, Google Chrome
Sysinfo
{
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"Python": "3.10.11",
"Version": "f0.0.12-latest-114-g8316773c",
"Commit": "8316773caaa3327ab205ae3b6250bbe07374d247",
"Script path": "E:\\stable-diffusion-webui-forge",
"Data path": "E:\\stable-diffusion-webui-forge",
"Extensions dir": "E:\\stable-diffusion-webui-forge\\extensions",
"Checksum": "3ea32a573f4c594d3e36077d11c3d0d1f0ca7667c7ba58e3a29a2247244dc80d",
"Commandline": [
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"Torch env info": {
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"is_debug_build": "False",
"cuda_compiled_version": "12.1",
"gcc_version": null,
"clang_version": null,
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"os": "Microsoft Windows 11 Pro",
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"python_platform": "Windows-10-10.0.22631-SP0",
"is_cuda_available": "True",
"cuda_runtime_version": null,
"cuda_module_loading": "LAZY",
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"torchdiffeq==0.2.3",
"torchmetrics==1.3.0.post0",
"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": "garbage_collection_threshold:0.9,max_split_size_mb:512",
"is_xnnpack_available": "True",
"cpu_info": [
"'wmic' is not recognized as an internal or external command,",
"operable program or batch file."
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},
"Exceptions": [],
"CPU": {
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"count logical": 16,
"count physical": 8
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"RAM": {
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{
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"remote": "https://github.com/thomasasfk/sd-webui-aspect-ratio-helper.git"
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{
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{
"name": "sd-webui-lora-block-weight",
"path": "E:\\stable-diffusion-webui-forge\\extensions\\sd-webui-lora-block-weight",
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{
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"remote": "https://github.com/Gourieff/sd-webui-reactor.git"
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{
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}
Console logs
Traceback (most recent call last):
File "E:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 37, in loop
task.work()
File "E:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "E:\stable-diffusion-webui-forge\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "E:\stable-diffusion-webui-forge\modules\processing.py", line 749, in process_images
res = process_images_inner(p)
File "E:\stable-diffusion-webui-forge\modules\processing.py", line 920, 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 "E:\stable-diffusion-webui-forge\modules\processing.py", line 1275, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "E:\stable-diffusion-webui-forge\modules\sd_samplers_kdiffusion.py", line 251, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "E:\stable-diffusion-webui-forge\modules\sd_samplers_common.py", line 263, in launch_sampling
return func()
File "E:\stable-diffusion-webui-forge\modules\sd_samplers_kdiffusion.py", line 251, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "E:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\stable-diffusion-webui-forge\repositories\k-diffusion\k_diffusion\sampling.py", line 553, in sample_dpmpp_sde
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "E:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "E:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "E:\stable-diffusion-webui-forge\modules\sd_samplers_cfg_denoiser.py", line 182, in forward
denoised = forge_sampler.forge_sample(self, denoiser_params=denoiser_params,
File "E:\stable-diffusion-webui-forge\modules_forge\forge_sampler.py", line 82, in forge_sample
denoised = sampling_function(model, x, timestep, uncond, cond, cond_scale, model_options, seed)
File "E:\stable-diffusion-webui-forge\ldm_patched\modules\samplers.py", line 290, in sampling_function
cfg_result = x - model_options["sampler_cfg_function"](args)
File "E:\stable-diffusion-webui-forge\extensions-builtin\sd_forge_latent_modifier\lib_latent_modifier\sampler_mega_modifier.py", line 1015, in modify_latent
noise_pred_degraded = (cond - uncond) if dyn_cfg_augmentation == "None" else dyn_cfg_modifier(cond, uncond, dyn_cfg_augmentation, cond_scale, time_mult) # New noise pred
File "E:\stable-diffusion-webui-forge\extensions-builtin\sd_forge_latent_modifier\lib_latent_modifier\sampler_mega_modifier.py", line 833, in dyn_cfg_modifier
time = time_mult.item()
RuntimeError: a Tensor with 2 elements cannot be converted to Scalar
a Tensor with 2 elements cannot be converted to Scalar
### Additional information
_No response_
Seeing same on my end as well