KSampler not working (started as of 29 Feb 2024)

I'm getting this every time I try to generate:

```
Error occurred when executing KSampler:

'UNetModel' object has no attribute 'default_image_only_indicator'

File "ComfyUI/execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "ComfyUI/execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "ComfyUI/execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "ComfyUI/nodes.py", line 1368, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "ComfyUI/nodes.py", line 1338, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "ComfyUI/custom_nodes/ComfyUI-Impact-Pack/modules/impact/sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, **kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
File "ComfyUI/comfy/sample.py", line 100, in sample
samples = sampler.sample(noise, positive_copy, negative_copy, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "ComfyUI/comfy/samplers.py", line 706, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "ComfyUI/comfy/samplers.py", line 611, in sample
samples = sampler.sample(model_wrap, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "ComfyUI/comfy/samplers.py", line 550, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "ComfyUI/venv/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "ComfyUI/comfy/k_diffusion/sampling.py", line 137, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "ComfyUI/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1529, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "ComfyUI/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
return forward_call(*args, **kwargs)
File "ComfyUI/comfy/samplers.py", line 282, in forward
out = self.inner_model(x, sigma, cond=cond, uncond=uncond, cond_scale=cond_scale, model_options=model_options, seed=seed)
File "ComfyUI/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1529, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "ComfyUI/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
return forward_call(*args, **kwargs)
File "ComfyUI/comfy/samplers.py", line 272, in forward
return self.apply_model(*args, **kwargs)
File "ComfyUI/comfy/samplers.py", line 269, in apply_model
out = sampling_function(self.inner_model, x, timestep, uncond, cond, cond_scale, model_options=model_options, seed=seed)
File "ComfyUI/comfy/samplers.py", line 249, in sampling_function
cond_pred, uncond_pred = calc_cond_uncond_batch(model, cond, uncond_, x, timestep, model_options)
File "ComfyUI/custom_nodes/ComfyUI-TiledDiffusion/.patches.py", line 4, in calc_cond_uncond_batch
return calc_cond_uncond_batch_original_tiled_diffusion_512bb320(model, cond, uncond, x_in, timestep, model_options)
File "ComfyUI/comfy/samplers.py", line 223, in calc_cond_uncond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "ComfyUI/comfy/model_base.py", line 95, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "ComfyUI/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1529, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "ComfyUI/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1538, in _call_impl
return forward_call(*args, **kwargs)
File "ComfyUI/custom_nodes/FreeU_Advanced/nodes.py", line 159, in __temp__forward
image_only_indicator = kwargs.get("image_only_indicator", self.default_image_only_indicator)
File "ComfyUI/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1706, in __getattr__
raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
```

I've been experimenting with image2text nodes lately, but I've been able to get them working. But even when I remove those LLM/SLM custom nodes it doesn't fix it. I have rebuilt my venv several times trying to troubleshoot this.