QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers
AlekseyCalvin's QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers is a image-generation model. QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers is an open-weights image model.
by AlekseyCalvin
Best for
Ways to use QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AlekseyCalvin API key. osFoundry discovers QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers
Is QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers free to use?
QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers locally?
Yes. QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers best at?
QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers is well-suited to text to image.
How do I use QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers in osFoundry?
Paste your AlekseyCalvin API key in the key dialog (or deploy the open weights for self-hostable models), assign QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AlekseyCalvin on August 5, 2025. Source: https://huggingface.co/AlekseyCalvin/QWEN_IMAGE_nf4_w_AbliteratedTE_Diffusers