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Open Source Model Profile · Sulkin

Sulkin_Lora

Sulkin_Lora is a FLUX.1-dev LoRA from Sulkin. Its model card documents the Sulkin trigger, Replicate training, and diffusers and ComfyUI compatibility.

Publisher
Sulkin
Task
text-to-image
Model type
Unknown
License
flux-1-dev-non-commercial-license
Library
diffusers
Publication status
Accepted · not indexed

Model overview

Sulkin_Lora is published by Sulkin as a text-to-image LoRA for FLUX.1-dev. Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter. According to the model card, it was trained on Replicate with an AI toolkit and uses Sulkin as the trigger word.

Recorded capabilities

Sulkin trigger

The model card says to use Sulkin to trigger image generation.

Replicate and diffusers paths

The card documents a Replicate API path with lora.safetensors and a diffusers AutoPipelineForText2Image snippet.

Published training settings

The card reports 2000 steps, 0.0004 learning rate, and LoRA rank 16.

Use cases in the source record

  • Text-to-image generation with FLUX.1-dev workflows that include the documented Sulkin trigger, via diffusers or ComfyUI.
  • API-based runs following the card's Replicate example with lora.safetensors as the LoRA weight.

Limitations and unknowns

  • No evaluation results were extracted from this record.
  • No parameter count was extracted for this LoRA record.
  • Provider state is historical snapshot data, not independently refreshed current availability.
  • Training and trigger details come from the publisher model card and have not been independently verified by Ethen.

Source and provenance

Source: Sulkin/Sulkin_Lora

Captured: Unknown. Processed: 2026-09-07T19:34:37.573193+00:00.

Sulkin_Lora About this LoRA This is a LoRA for the FLUX.1-dev text-to-image model. It can be used with diffusers or ComfyUI. It was trained on Replicate using AI toolkit: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use Sulkin to trigger the image generation. Run this LoRA with an API using Replicate import replicate input = { "prompt" : "Sulkin" , "lora_weights" : "https://huggingface.co/Sulkin/Sulkin_Lora/resolve/main/lora.safetensors" } output = replicate.run( "black-forest-labs/flux-dev-lora" , input = input ) for index, item in enumerate (output): with open ( f"output_ {index} .webp" , "wb"…

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