blepping
347e7eee6c
* Previewer refactors Support visual previews for ACE-Step Allow setting dtype for previewer model Allow scaling q/k/v input and output for Sage * Start updating docs and example configuration files * Add slice blend modes * Rewrite blend mode system. More blend modes. Added BlehCFGInitSampler. Basic Sparge Attention support. Make samplers a bit more compatible with wrapping wrappers. * Add probinject and probsubtract_b blend modes Add BlehLatentAsImage and BlehImageAsLatent nodes * Add BlehModelPatchFastTerminate node Update docs/changelog Add cosinesimilarity blend modes (basically SLERP) * Remove some dead code
81 lines
3.5 KiB
YAML
81 lines
3.5 KiB
YAML
# Copy this file to blehconfig.yaml
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betterTaesdPreviews:
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# If disabled, will use the old ComfyUI previewer.
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enabled: true
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# Maximum preview size (applies to both height and width).
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max_size: 768
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# Maximum preview width. If set, will override max_size.
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max_width: 768
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# Maximum preview height. If set, will override max_size.
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max_height: 768
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# Maximum batch items to preview.
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max_batch: 4
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# Maximum columns to use when previewing batches.
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max_batch_cols: 2
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# Minimum time between updating previews. The default will update the preview at most once per second.
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throttle_secs: 1
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# Can be set to use a different throttle time when using the fallback previewer
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# (anything other than TAESD or TAEVID). If unset or null it will use throttle_secs.
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throttle_secs_fallback: null
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# When enabled and previewing batches, you will see previews spread across the batch. Otherwise it will be the first max_batch items.
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maxed_batch_step_mode: false
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# Allows overriding the preview device, for example you could set it to "cpu". Note: Generally should be left
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# alone unless you know you need to change it. Previewing on CPU will likely be quite slow.
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preview_device: null
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# Can be set to override the previewer dtype (which probably defaults to float32).
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# You may set it to a specific dtype: float32, float16, bfloat16
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# Setting it to "keep" or null just leaves the dtype alone (which is probably float32).
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# Setting it to "vae" will use whatever dtype ComfyUI is set to use for VAE.
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preview_dtype: null
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# Allows skipping upscale layers in the TAESD model, may increase performance when previewing large images or batches.
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# May be set to -1 (conservative) or -2 (aggressive) to automatically calculate how many to skip. See README.md for details.
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skip_upscale_layers: 0
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# Controls whether the previewer model is compiled (using torch.compile). Only works if your
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# Torch version and GPU support compiling. This also may cause a delay/memory spike on decoding the first preview.
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# This may be a boolean or object with arguments to pass to torch.compile. For example:
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# compile_previewer:
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# mode: max-autotune
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# backend: inductor
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compile_previewer: false
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# Controls behavior if we run out of memory trying to decode the preview.
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# Possible values: none, latent2rgb
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oom_fallback: "latent2rgb"
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# When enabled, we will try to use the normal previewer on each call
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# and only use the fallback if the normal previewer fails.
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# When disabled, we use the fallback starting from the first OOM.
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oom_retry: true
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# List of lowercase latent format names from https://github.com/comfyanonymous/ComfyUI/blob/master/comfy/latent_formats.py
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# If the list is empty, this disables the whitelist. Otherwise, Bleh will
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# only handle previewing for formats in the list.
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whitelist_formats: []
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# List of lowercase latent format names (see above).
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# Bleh will delegate to the normal previewer for any latent formats in the blacklist.
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blacklist_formats: []
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# Controls whether video previewing uses parallel mode (faster, requires much more memory).
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video_parallel: false
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# Maximum frames to include in a preview. -1 means no limit.
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# Frame limiting is treated like batch limiting so maxed_batch_step mode, etc will apply here.
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video_max_frames: -1
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# Number of temporal upscale blocks to run. 2 is the maximum and will fully decode
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# the latent into image frames.
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video_temporal_upscale_level: 0
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