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Open Source Model Profile · tscstudios

lvfrui28ynew3g1n2qkum7092qo2_522ccd9b-58e6-4058-b15c-562b3a85f2f7

This tscstudios entry is a text-to-image Flux LoRA. Its model card documents the TOK trigger word and Replicate-based training for black-forest-labs/FLUX.1-dev workflows.

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 LoRA is published by tscstudios as a text-to-image adapter. Hub tags list diffusers, flux, and lora with black-forest-labs/FLUX.1-dev as base model and adapter. According to the model card, it was trained on Replicate with the ostris flux-dev-lora-trainer workflow.

Recorded capabilities

FLUX.1-dev base tags

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

Documented TOK trigger

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

Diffusers loading snippet

The card documents diffusers AutoPipelineForText2Image usage with lora.safetensors over the documented base.

Use cases in the source record

  • Text-to-image generation with FLUX.1-dev workflows that include the documented TOK trigger.
  • Diffusers experiments that load lora.safetensors over black-forest-labs/FLUX.1-dev with AutoPipelineForText2Image.

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.
  • The repository slug is machine-generated and carries no descriptive meaning beyond its captured identity.

Source and provenance

Source: tscstudios/lvfrui28ynew3g1n2qkum7092qo2_522ccd9b-58e6-4058-b15c-562b3a85f2f7

Captured: Unknown. Processed: 2026-09-07T19:35:31.774910+00:00.

Lvfrui28Ynew3G1N2Qkum7092Qo2_522Ccd9B 58E6 4058 B15C 562B3A85F2F7 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/lvfrui28ynew3g1n2qkum7092qo2_522ccd9b-58e6-4058-b15c-562b3a85f2f7' , weight_name= 'lora.safetensors' ) image = pipeline( 'your prompt' ).images[ 0 ] For more…

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