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Open Source Model Profile · tscstudios

kvj8gjldpiyswqpppnwofmig8512_152fb7e2-6cf4-4d86-b052-648aa0477d25

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.

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

Model overview

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.

Recorded capabilities

TOK trigger

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

FLUX.1-dev base tags

Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter, matching the card loading snippet.

Diffusers loading snippet

The model card documents diffusers AutoPipelineForText2Image usage with lora.safetensors.

Use cases in the source record

  • Subject-style text-to-image generation with FLUX.1-dev workflows that include the documented TOK trigger.
  • Diffusers experiments that load lora.safetensors over the documented base model.

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 details beyond the named Replicate trainer come from a brief publisher card and have not been independently verified by Ethen.

Source and provenance

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…

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