psypop70

Model overview

psypop70 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 and usage runs through the MUAPI flux_dev_lora_image endpoint.

Recorded capabilities

Use cases in the source record

• Text-to-image generation on the tagged FLUX.1-dev base using the documented psypop, psychedelic, vibrant-colors, and abstract-patterns trained words.
• MUAPI-hosted LoRA inference following the publisher Python example against the flux_dev_lora_image endpoint with a configurable 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 words, including steps, dataset, and rank, was not extracted.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: Muapi/psypop70

Captured: Unknown. Processed: 2026-09-07T19:35:48.022588+00:00.

PsyPop70 🌈🌀 Base model : Flux.1 D Trained words : psypop, psychedelic, vibrant colors, abstract patterns 🧠 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:810966@906866" , "weight" : 1.0 }], "width" : 1024 , "height" : 1024 , "num_images" : 1 } print (requests.post(url, headers=headers, json=payload).json())