TOK trigger
The model card says to use TOK to trigger image generation.
Open Source Model Profile · tscstudios
This tscstudios entry is a text-to-image LoRA for FLUX.1-dev workflows. Its model card documents the TOK trigger and Replicate-based training.
This tscstudios record is published as a text-to-image LoRA. Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter. According to the model card, it was trained on Replicate and uses TOK as the trigger word.
The model card says to use TOK to trigger image generation.
Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter, matching the card loading snippet.
The model card documents diffusers AutoPipelineForText2Image usage with lora.safetensors.
Source: tscstudios/kvj8gjldpiyswqpppnwofmig8512_152fb7e2-6cf4-4d86-b052-648aa0477d25
Captured: Unknown. Processed: 2026-09-07T19:35:31.744559+00:00.
Kvj8Gjldpiyswqpppnwofmig8512_152Fb7E2 6Cf4 4D86 B052 648Aa0477D25 Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use TOK to trigger the image generation. Use it with the 🧨 diffusers library from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained( 'black-forest-labs/FLUX.1-dev' , torch_dtype=torch.float16).to( 'cuda' ) pipeline.load_lora_weights( 'tscstudios/kvj8gjldpiyswqpppnwofmig8512_152fb7e2-6cf4-4d86-b052-648aa0477d25' , weight_name= 'lora.safetensors' ) image = pipeline( 'your prompt' ).images[ 0 ] For more…
F001F002F003F004F005F006F007F008F009F010