70 lines
1.5 KiB
Markdown
70 lines
1.5 KiB
Markdown
# Example Workflow Notes
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## Split-Sigma Sampling
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```text
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Scheduler
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-> SplitSigmas
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SplitSigmas high_sigmas
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-> Sigmas Resample
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-> ZIB EmberFrame SamplerCustomAdvanced Capture sigmas
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ZIB output
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-> ZIT EmberFrame SamplerCustomAdvanced Capture latent_image
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SplitSigmas low_sigmas
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-> ZIT EmberFrame SamplerCustomAdvanced Capture sigmas
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```
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## PiD Final-Latent Decode
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```text
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ZIT output or denoised_output
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-> EmberFrame Normalize ZImage/Flux Latent
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-> PiD Decode latent
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```
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Use:
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```text
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PiD Decode backbone = zimage
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PiD Decode pid_ckpt_type = 2k or 2kto4k
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PiD Decode scale = 4
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PiD Decode pid_steps = 4
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PiD Decode cfg_scale = 1
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PiD Decode sigma = 0
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```
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## PiD Staged Intermediate Decode
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```text
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ZIT pid_latent
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-> PiD Prepare latent
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ZIT pid_sigma
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-> PiD Prepare sigma
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PiD Prepare
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-> PiD Sample
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-> PiD Finalize
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```
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Start diagnostics with:
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```text
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capture_mode = from_end
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capture_step = 1
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capture_tensor_source = x
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sigma_source = next
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capture_debug = true
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```
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For Z-Image / Flux PiD, keep PiD scale at `4`.
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## Detailer File Notes
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`z-image_5.1_emberframe_pid.json` uses the Impact detailer pass. Its workflow note lists the detector files and links for `person_yolov8m-seg.pt`, `face_yolov8m.pt`, `Eyes.pt`, and `sam_vit_l_0b3195.pth`.
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`z-image_5.2_emberframe_pid.json` uses the SAM3 detailer pass. Its workflow note links the required `models/sam3/sam3.pt` file to the gated `facebook/sam3` Hugging Face repo and notes that ComfyUI needs authenticated access if auto-download is used.
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