Nodes/comfyui-qwen35-anima/Qwen3.5 Vision Encode (Anima)
ComfyUI Node

Qwen3.5 Vision Encode (Anima)

A ComfyUI node in conditioning/Anima with 7 inputs and 1 output.

By GumGum10·Created 5 months ago·Updated 5 months ago· 29
Qwen3.5 Vision Encode (Anima)
  • clip
  • vit
  • image
  • CONDITIONING
text
modeadd
image_size448
vision_weight0.30
Categoryconditioning/Anima

Inputs (7)

NameTypeDefaultDescription
clipCLIP
vitQWEN35_VIT
imageIMAGE
textSTRINGText prompt. Visual features from the image will be injected via the selected mode.
modeoptCOMBOaddHow to inject visual features: - add: pool ViT patches into a style vector, add to every text token (best for style/character transfer) - replace_padding: overwrite padding tokens with visual features (middle ground) - concat: prepend all visual tokens before text (can drown out text prompt)
image_sizeoptINT44864–768Resize image to this size (both H and W, must be multiple of 32). 448 = 196 visual tokens, 224 = 49 tokens. Larger = more detail but slower.
vision_weightoptFLOAT0.300–10Scale factor for visual influence. For 'add' mode (pre-norm): 0.1=subtle, 0.3=moderate, 1.0=strong (visual same magnitude as text). For 'concat'/'replace_padding': scales projected token magnitudes.

Outputs (1)

NameTypeDescription
CONDITIONINGCONDITIONING