KJNodes/experimentalgenerated

Flux Block Lora Select(FluxBlockLoraSelect)

This node technically enables selective application of LoRA model weights by exposing 57 independent float parameters, which correspond to 19 'double blocks' and 38 'single blocks' in the model respectively.

Flux Block Lora Select

blocks
KJNodes

The Flux Block Lora Select node provides a configuration object that can be used to selectively apply LoRA model weights across different blocks, with a value of 0 removing the block entirely.

Flux Block Lora Select is a node designed for fine-grained control over the influence of a LoRA model on various layers of a Stable Diffusion model. It provides a configuration representing independent weight values for specific "blocks" within the model, enabling precise tuning of generated style or content.

Node Functionality

Select individual block alpha values; a value of 0 removes the block altogether. The output is a configuration dictionary that can be used by downstream nodes to control LoRA application per block.

Output

Parameter NameData TypeDescription
blocksSELECTEDDITBLOCKSblocks (Output Parameter): A configuration dictionary containing the weight settings for all blocks.

Usage Scenarios

In an image generation workflow, this node is typically connected after a node that has loaded a LoRA model. By using the block weight configuration output from this node, users can explore the LoRA model's impact on various aspects of the image (such as style, detail, composition). For example, one might reduce weights for certain blocks to diminish specific textures introduced by the LoRA, or enhance other blocks to emphasize a particular artistic style.

The Flux Block Lora Select node is from the ComfyUI-KJNodes node package.

Comments

Sign in with GitHub to join the discussion.

Loading comments…