Skip to content

EthenEthenEthen

LoginPlatformTry Ethen

Open Source Model Profile · Muapi

bruno-dayan

bruno-dayan is a text-to-image LoRA from Muapi. Its model card documents Flux.1 D lineage and the By Bruno Dayan trained phrase.

Publisher
Muapi
Task
text-to-image
Model type
Unknown
License
openrail++
Library
diffusers
Publication status
Accepted · not indexed

Model overview

bruno-dayan is published by Muapi 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 uses the trained words By Bruno Dayan and is invoked through the MUAPI FLUX LoRA endpoint.

Recorded capabilities

Bruno Dayan trained words

According to the model card, By Bruno Dayan is the documented trained phrase.

FLUX.1-dev base tags

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

MUAPI calling pattern

The model card documents a Python request to the MUAPI flux_dev_lora_image endpoint with prompt and image-size fields.

Use cases in the source record

  • Subject-style text-to-image generation with FLUX.1-dev workflows that include the documented trained phrase.
  • MUAPI-hosted inference experiments that call the publisher's documented FLUX LoRA image endpoint.

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.
  • Style and likeness behavior come only from a brief publisher model card and have not been independently verified by Ethen.

Source and provenance

Source: Muapi/bruno-dayan

Captured: Unknown. Processed: 2026-09-07T19:35:43.302146+00:00.

Bruno Dayan Base model : Flux.1 D Trained words : By Bruno Dayan 🧠 Usage (Python) 🔑 Get your MUAPI key from muapi.ai/access-keys import requests, os url = "https://api.muapi.ai/api/v1/flux_dev_lora_image" headers = { "Content-Type" : "application/json" , "x-api-key" : os.getenv( "MUAPIAPP_API_KEY" )} payload = { "prompt" : "masterpiece, best quality, 1girl, looking at viewer" , "model_id" : [{ "model" : "civitai:1264265@1446666" , "weight" : 1.0 }], "width" : 1024 , "height" : 1024 , "num_images" : 1 } print (requests.post(url, headers=headers, json=payload).json())

F001F002F003F004F005F006F007F008