Marigold Depth Estimation

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Kornesh Kanan
Kornesh KananPRO Max
9 months ago
581
0
  • featured
Completed
L4
Web
66.143s
Execution
1m 6sbilled · 603 credits
1m 54s
Queued 45.2s·Startup 3.15s·GPU Execution 1m 6s

Inputs

Metadata

Prompts

Note: Image Size

Marigold works best close to 768p

Note: Marigold

  • denoise_steps: diffusion step count, more can increase quality, less is faster
  • n_repeat: how many times the prediction is done
  • regulazer_strenth/method, max_iter, tol: These are settings for the ensembler, generally do not touch
  • n_repeat_batch_size: batches the n_repeats for speed, INCREASES MEMORY USE -use_fp16: can lower quality a bit, disabling DOUBLES MEMORY USE
  • scheduler: different schedulers have bit different outputs, experimental

Note: Marigold

Model: Models are autodownloaded from Hugginface to ComfyUI/models/diffusers -folder To use LCM model use just a single denoise_step and n_repeat 4

Note: RemapDepth

You can use this to adjust the depth map range

ComfyUI Graph