gout

Model overview

gout is published by seraphinat 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 gout to trigger image generation.

Recorded capabilities

Use cases in the source record

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

Source and provenance

Source: seraphinat/gout

Captured: Unknown. Processed: 2026-09-07T19:35:30.044217+00:00.

Gout Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use gout 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( 'seraphinat/gout' , 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 in diffusers