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Open Source Model Profile · Muapi

texture-e-commerce-platform-flux-1.-d-lora

texture-e-commerce-platform-flux-1.-d-lora is a FLUX text-to-image LoRA from Muapi. Its card documents Flux.1 D compatibility, the trained word platform, and a Muapi image-API example.

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

Model overview

texture-e-commerce-platform-flux-1.-d-lora is published by Muapi as a text-to-image LoRA. Hub tags list diffusers, lora, flux, and flux.1-d with black-forest-labs/FLUX.1-dev as base model and adapter. According to the model card, it is a Flux.1 D LoRA with platform as the trained word.

Recorded capabilities

Flux.1 D base statement

The model card names Flux.1 D as the base model for this LoRA.

Platform trained word

According to the model card, platform is the trained word.

Muapi API example

The publisher documents a Muapi Python request with prompt, image dimensions, image count, and model-weight fields.

Use cases in the source record

  • FLUX text-to-image generation that references the documented platform token.
  • Muapi API workflows that submit the documented prompt, dimensions, and model-weight fields.

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.
  • Purpose, training, and compatibility information comes from a brief publisher model card and has not been independently verified by Ethen.

Source and provenance

Source: Muapi/texture-e-commerce-platform-flux-1.-d-lora

Captured: Unknown. Processed: 2026-09-07T19:36:06.837109+00:00.

Texture E-commerce Platform Flux 1. d Lora Base model : Flux.1 D Trained words : platform 🧠 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:777747@869845" , "weight" : 1.0 }], "width" : 1024 , "height" : 1024 , "num_images" : 1 } print (requests.post(url, headers=headers, json=payload).json())

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