Reference Fill (flux-fill-dev + deepseek-Janus-Pro)

Reference Fill (flux-fill-dev + deepseek-Janus-Pro) is for generating and editing images from a reference image; it can restore or extend image details with masks and text conditioning, then preview or save the generated results.

The workflow loads and resizes an image, prepares masks, applies outpainting or inpainting conditioning, guides Flux sampling, and decodes the result.

It takes a reference image and includes mask conversion and mask-based cutting for image edits.

Text prompts can be encoded for conditioning, and results can be previewed or saved.

The listing identifies Nouvo Ai as the publisher and Flux.1 D as the base model.

Named model files include ae.safetensors, clip_l.safetensors, flux1-fill-dev.safetensors, and t5xxl_fp8_e4m3fn.safetensors; the workflow also names deepseek-ai/Janus-Pro-1B.

Named stages include CLIPTextEncode, Cut By Mask, DifferentialDiffusion, DualCLIPLoader, easy showAnything, FluxGuidance, ImagePadForOutpaint, ImageRemoveAlpha+, ImageResize+, and InpaintModelConditioning.

Other named stages are JanusImageUnderstanding, JanusModelLoader, KSampler, LoadImage, MaskToImage, PreviewImage, SaveImage, UNETLoader, VAEDecode, and VAELoader.

The description says reference-based generation can be used without additional training, IP-Adapter, LoRA, or extra fine-tuning.

For restoration or extension work, consider ImagePadForOutpaint, InpaintModelConditioning, DifferentialDiffusion, and ImageResize+.

Suggestion · non vérifié

Before running it, verify that your setup includes deepseek-ai/Janus-Pro-1B, ae.safetensors, CLIPTextEncode, and SaveImage.

Suggestion · non vérifié

The workflow's license is not stated.