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License: GNU General Public License v3.0
Trajectory Consistency Distillation (TCD) sampling for ComfyUI
License: GNU General Public License v3.0
there are some differences in structure between Diffusers (more explicit time scheduling) and ComfyUI (array of sigmas, and abstracted scheduling), so I was unable to correctly translate. Perhaps someone with more knowledge about diffusers could assist?
i find only customsampler can loading this great extension but this node had no %denoise option.
I have created a branch called ddpm
where I have implemented DDPM sampling, but the modifications of weighting for gamma have not be correctly mixed in.
Error occurred when executing TCDScheduler:
module 'comfy.samplers' has no attribute 'calculate_sigmas_scheduler'
File "D:\000AI\00ComfyUI\ComfyUI\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\000AI\00ComfyUI\ComfyUI\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\000AI\00ComfyUI\ComfyUI\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\000AI\00ComfyUI\ComfyUI\custom_nodes\comfyui-tcd-scheduler\sampler_tcd.py", line 133, in get_sigmas
sigmas = comfy.samplers.calculate_sigmas_scheduler(model.model, "ddim_uniform", steps).cpu()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
just showcasing how is the added nodes connected to each other
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