da2el-ai-D2-nodes-ComfyUI/docs/en/node.md

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Node

🍅 Sampler Nodes

D2 KSampler / D2 KSampler(Advanced)

• KSampler that can input prompts as STRING

Input

• cnet_stack
  • For connecting to D2 Controlnet Loader
• model / clip / vae / ..etc
  • Same as standard KSampler
• negative / positive
  • Prompts in STRING format

Output

• IMAGE
  • Image output
• positive / negative
  • Input passthrough

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D2 Pipe

• A node for modifying and extracting the contents of d2_pipe
• d2_pipe is used to pass parameters collectively in nodes such as D2 XY Plot Easy, D2 KSampler, and D2 Send Eagle

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🍅 Loader Node

D2 Checkpoint Loader

• A Checkpoint Loader that outputs the full path of model files
• Can automatically apply v_prediction settings when the filename contains "vpred"

Input

• ckpt_name
  • Checkpoint name
• auto_vpred
  • true: Automatically applies v_prediction settings if the filename contains "vpred"
• sampling / zsnr
  • Same settings as ModelSamplingDiscrete (details unknown)
• multiplier
  • Same settings as RescaleCFG (details unknown)

Output

• model / clip / vae
  • Same as the conventional CheckpointLoader.
• ckpt_name / ckpt_hash / ckpt_fullpath
  • Checkpoint name, hash, and full path.

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D2 Controlnet Loader

• Controlnet Loader that creates simple workflows when connected to D2 KSampler

Input

• cnet_stack
  • For connecting to D2 Controlnet Loader

Output

• cnet_stack
  • For connecting to D2 KSampler or D2 Controlnet Loader

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D2 Load Lora

• A Lora loader that allows specifying Lora through text
• model_weight / clip_weight can also be specified

• There are two modes: one that uses the same format as StableDiffusion webui A1111 (a1111), and one that simply lists LoRA names (simple)
• For specific usage, refer to the sample workflow

Input

• mode
  • a1111: Mode that allows using the same format as StableDiffusion webui A1111
  • simple: Simple mode that just lists LoRA names. In this mode, the STRING output is not used

Format differences based on mode

mode: a1111 Expressed as <lora:~>.

<lora:lora_name:1>

mode: simple No decorations needed before or after

lora_name:1

How to specify Weight

Write in the format {lora_name}:{model_weight}:{clip_weight}.

foo:0.8:1

If clip_weight is not specified, the same value as model_weight is applied. The following have the same meaning.

foo:0.8
foo:0.8:0.8

If weight is not specified, "1" is applied The following have the same meaning.

foo
foo:1:1

How to specify multiple LoRAs in simple mode

Separate with line breaks

foo:0.5
bar

When writing two types in one line, separate with ","

foo:0.5,bar

Comments

Lines that start with "//" or "#" are ignored.

//foo:0.5
#bar

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🍅 Size Node

D2 Get Image Size

• Both outputs and displays size

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D2 Size Selector

• Node for selecting image size from presets
• Can also get size from images
• Rounding method can be selected from Ceil / Float / None

Input

• images
  • Used when getting size from images
  • preset must be set to custom
• preset
  • Size presets
  • Must be set to custom when using width height below or image sizes
  • Edit /custom_nodes/D2-nodes-ComfyUI/config/sizeselector_config.yaml to modify presets
• width / height
  • Width/height dimensions
  • preset must be set to custom
• swap_dimensions
  • Swap width/height
• upscale_factor
  • Value passed to other resize nodes. Does nothing in this node
• prescale_factor
  • Output width/height after resizing by this factor
• round_method
  • Round: Round to nearest
  • Floor: Round down
  • None: No rounding
• batch_size
  • Batch size to set for empty_latent

Output

• width / height
  • Input width, height multiplied by prescale_factor
• upscale_factor / prescale_factor
  • Passthrough of input
• batch_size
  • Passthrough of input
• empty_latent
  • Outputs latent created with specified size and batch size

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D2 Image Resize

• Simple image resizing
• Precision up to 3 decimal places
• Can select rounding, floor, or ceiling
• Capable of upscaling using upscale models
• Latent output is also possible (requires VAE)

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D2 Resize Calculator

• Can select rounding, floor, or ceiling

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🍅 Refiner Node

D2 Refiner Steps

• Node for outputting steps for Refiner

Input

• steps
  • Total step count
• start
  • Starting steps for first KSampler
• end
  • Ending steps for first KSampler

Output

• steps / start / end
  • Input passthrough
• refiner_start
  • Starting steps for second KSampler

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D2 Refiner Steps A1111

• Node that can specify denoise for Refiner in img2img

Input

• steps
  • Total step count
• denoise
  • Specify denoise for img2img
• switch_at
  • What percentage of total steps to switch to next KSampler

Output

• steps
  • Input passthrough
• start
  • Starting steps for first KSampler
• end
  • Ending steps for first KSampler
• refiner_start
  • Starting steps for second KSampler

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D2 Refiner Steps Tester

• Node for checking steps

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🍅 Merge Node

D2 Model and CLIP Merge SDXL

• A node that combines ModelMergeSDXL and CLIPMergeSimple
• Allows comma-separated weight specifications for easier use with XYPlot
• In this figure, 0.85,0.85,1,1,0.4,0.4,1,0.4,0.4,0.4,1,0.4,0.4,0.4,0,0.55,0.85,0.85,0.85,0.85,0.85,0.85,1,1,0.65 is specified