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Open Source Model Profile · TobiGeth

tg_user_577564588_lora_1740561718

tg_user_577564588_lora_1740561718 is a text-to-image LoRA from TobiGeth. Its model card documents a USER_577564588_1740561718 trigger and Replicate-based training for FLUX.1-dev.

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

Model overview

tg_user_577564588_lora_1740561718 is published by TobiGeth as a text-to-image LoRA. 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 and uses USER_577564588_1740561718 as the trigger.

Recorded capabilities

Documented trigger

The model card says to use USER_577564588_1740561718 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's loading snippet.

Diffusers loading snippet

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

Use cases in the source record

  • Text-to-image generation with FLUX.1-dev workflows that include the documented trigger identifier.
  • 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 and subject information comes from a brief publisher model card and has not been independently verified by Ethen.

Source and provenance

Source: TobiGeth/tg_user_577564588_lora_1740561718

Captured: Unknown. Processed: 2026-09-07T19:35:16.740416+00:00.

Tg_User_577564588_Lora_1740561718 Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use USER_577564588_1740561718 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( 'TobiGeth/tg_user_577564588_lora_1740561718' , weight_name= 'lora.safetensors' ) image = pipeline( 'your prompt' ).images[ 0 ] For more details, including weighting, merging and fu…

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