thhminime-lora

Model overview

thhminime-lora is published by aerielle 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 thhminime as the trigger word.

Recorded capabilities

Use cases in the source record

• Subject-style text-to-image generation with FLUX.1-dev workflows that include the documented thhminime 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: aerielle/thhminime-lora

Captured: Unknown. Processed: 2026-09-07T19:35:17.946886+00:00.

Thhminime Lora Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use thhminime 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( 'aerielle/thhminime-lora' , weight_name= 'lora.safetensors' ) image = pipeline( 'your prompt' ).images[ 0 ] For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs i…