Flux.1 D base record
Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter, and the model card names Flux.1 D as base model.
Open Source Model Profile · Muapi
super-heroine
super-heroine is a text-to-image LoRA from Muapi for Flux.1 D. According to the model card, it uses nvyingchao as trained word and documents MUAPI Python usage.
- Publisher
- Muapi
- Task
- text-to-image
- Model type
- Unknown
- License
- openrail++
- Library
- diffusers
- Publication status
- Accepted · not indexed
Model overview
super-heroine is published by Muapi as a diffusers text-to-image LoRA. Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter. According to the model card, its base model is Flux.1 D, its trained word is nvyingchao, and usage runs through the MUAPI flux_dev_lora_image endpoint.
Recorded capabilities
nvyingchao trained word
According to the model card, nvyingchao is the trained word for this LoRA.
MUAPI Python usage
According to the model card, usage posts a prompt, model_id weight, width, height, and image count to the MUAPI flux_dev_lora_image endpoint with an API key.
Use cases in the source record
- Text-to-image generation on the tagged FLUX.1-dev base using the documented nvyingchao trained word.
- MUAPI-hosted LoRA inference following the publisher Python example against the flux_dev_lora_image endpoint with a configurable civitai model weight.
Limitations and unknowns
- No evaluation results were extracted from this record.
- No parameter count was extracted for this LoRA record.
- Training detail beyond the Flux.1 D base and trained word, including steps, dataset, and rank, was not extracted.
- Provider state is historical snapshot data, not independently refreshed current availability.
Source and provenance
Source: Muapi/super-heroine
Captured: Unknown. Processed: 2026-09-07T19:35:48.916993+00:00.
Super Heroine Base model : Flux.1 D Trained words : nvyingchao 🧠 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:772328@863831" , "weight" : 1.0 }], "width" : 1024 , "height" : 1024 , "num_images" : 1 } print (requests.post(url, headers=headers, json=payload).json())
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