Marigold Depth Estimation
Execution
1m 6sbilled · 603 credits
1m 54sQueued 45.2s·Startup 3.15s·GPU Execution 1m 6s
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

