Stable Diffusion XL

Name: Stable Diffusion XL
Brand: Stability AI
SKU: stable-diffusion-xl
Price: 0.0015 USD
Availability: InStock

BilledgenereringTilgængelig

af Stability AIstable-diffusion-xl

Stability AI's SDXL model via Replicate. High-quality image generation with extensive customization.

Prøv det Få API-nøgle Sammenlign

Pris: ≈ 0,0015 US$/kørsel
Input → output: Tekst → Billede
Udvikler: Stability AI
Opdateret: 23. september 2026

Playground

Prøv Stable Diffusion XL

Input & resultat

≈ 0,0015 US$/kørsel

Prompt

Avancerede indstillinger (3)

Negativ prompt(valgfrit)

Bredde(valgfrit)

Højde(valgfrit)

⌘/Ctrl + Enter

Resultat

Dit billede vises her.

Denne kørsel

ca. 0,0015 US$ · 0,15 credits

0,0044 US$ (0,44 credits) reserveres ved start; den faktiske GPU-tid faktureres.

Ny her?

10 gratis credits (0,10 US$) når du tilmelder dig med Google

Kan bruges 24 timer efter tilmelding, op til 5 kørsler pr. dag og højst 2 credits pr. kørsel. Andre login-metoder starter uden credits. Nok til 22 kørsler af denne model.

Examples

Real outputs from the public examples of this model on Replicate, with the prompt and settings that produced them. They were not generated live on this page.

Open full size
Prompt
An astronaut riding a rainbow unicorn, cinematic, dramatic
Settings
width

768
height

768
Open full size
Input
Prompt
A rainbow coloured bear
Settings
width

1024
height

1024
Open full size
Prompt
An astronaut riding a rainbow unicorn, cinematic, dramatic
Settings
width

1024
height

1024

Eksempelprompts

Eksempler fra Railwail-kataloget. De blev ikke genereret live på denne side.

Anime Character
A fierce warrior princess with flowing silver hair and golden armor, standing atop a cliff overlooking a vast battlefield, anime art style, dramatic wind effects, detailed cel shading
Cozy Interior
A hygge-inspired reading nook with floor-to-ceiling bookshelves, a plush velvet armchair, warm fairy lights, a sleeping cat, and rain visible through a large arched window, digital painting style
Abstract Art
Geometric crystalline formations emerging from a pool of liquid gold, refracting rainbow light prisms throughout the composition, ultra-detailed 3D render with volumetric lighting and caustics

Om Stable Diffusion XL

Kort sagtFra 23. september 2026

Stable Diffusion XL er en model af Stability AI i kategorien Billedgenerering. På Railwail koster Stable Diffusion XL ≈ 0,0015 US$ pr. kørsel.

Baggrund

Om Stability AI

Grundlagt 2019 · London, UK

Stability AI was founded in 2019 by Emad Mostaque (CEO until March 2024) and is headquartered in London. The company sponsored and released the original Stable Diffusion 1.4/1.5/2.x (2022) in partnership with CompVis (LMU Munich, Robin Rombach and Patrick Esser), Runway and LAION. Stable Diffusion XL (SDXL) was released in July 2023 by Stability AI as a successor to SD 1.5/2.1 and was widely adopted by the open-source community as the de-facto open base model for fine-tuning and downstream pipelines until FLUX.1 and SD 3.5 arrived in 2024.

Besøg Stability AI

Arkitektur

Latent diffusion U-Net with two text encoders and optional refiner

Stable Diffusion XL (SDXL) is a 2023 latent diffusion model from Stability AI, described in 'SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis' (Podell et al. 2023). The architecture is a refined latent-diffusion U-Net operating in the latent space of a learned 8x VAE. Key changes over SD 1.5 include: (1) a larger U-Net backbone (~3.5B parameters, ~3x larger than SD 1.5), (2) two parallel text encoders concatenating CLIP ViT-L and OpenCLIP ViT-bigG features for stronger prompt adherence, (3) conditioning on the original image resolution and crop coordinates to fix the resolution and cropping artefacts of SD 1.5, (4) training natively at 1024x1024 instead of 512x512, and (5) an optional 6.6B-parameter refiner model that performs a final 5-step denoising pass to add high-frequency detail. SDXL became the dominant open base model for fine-tuning between mid-2023 and late 2024, spawning huge ecosystems including IP-Adapter, AnimateDiff, ControlNet-XL, T2I-Adapter and tens of thousands of community LoRAs.

Parametre: ~3.5B base U-Net + 6.6B refiner = ~10.1B total
Kontekst: 75 tokens

Funktioner

Native 1024x1024 generation
Two text encoders (CLIP-L + OpenCLIP-G) for strong prompts
Optional refiner for high-frequency detail
Open weights under CreativeML Open RAIL++-M license
Massive ecosystem: ControlNet-XL, IP-Adapter, AnimateDiff, LoRAs
Strong fine-tuning base for art styles and brand models
Runs on consumer GPUs (8-12GB VRAM with quantisation)
Best for: fine-tuning base, ControlNet pipelines, community LoRAs, on-prem deployments, education.

Træning og licens

Pretrained on a large subset of LAION-5B and additional Stability AI-curated data. Conditioned on resolution and crop coordinates to mitigate aspect-ratio artefacts.

Licens: CreativeML Open RAIL++-M license — open weights with usage restrictions (no NCII, CSAM, etc.). Commercial use permitted with these restrictions.

Sikkerhedstests: Stability AI applied baseline content filters and training data filtering. The model ships without an integrated safety classifier and operators must add their own moderation.

Kendte begrænsninger

Older architecture — outperformed by FLUX.1 and SD 3.5 Large
Hands, text and complex anatomy imperfect
Default text encoder limited to 75 tokens
Open weights have no built-in safety filter

Forskningsartikler

Priser

Priser i US-dollar. Forbrug debiteres fra forudbetalte credits.

Typisk kørsel (≈ 1 s på L40S)	0,0015 US$ pr. kørsel
GPU-tid (L40S)	0,00117 US$ pr. GPU-sekund

Faktureres efter den GPU-tid, som kørslen faktisk tager. Når kørslen starter, reserveres 3× den typiske pris fra din saldo og afregnes efterfølgende.
1 kredit = 0,01 US$

Omkostningsberegner

Prisberegner

GPU-sekunder pr. kørsel

Typisk ifølge udbyderen: ca. 1,2 s

Kørsler

I alt

0,15 US$

15 credits

Pr. kørsel

0,0015 US$ · 0,15 credits

Fakturering efter faktisk GPU-tid; dette er et estimat.

API

Kald Stable Diffusion XL med din Railwail API-nøgle. Brug dette model-ID i anmodningen:

stable-diffusion-xlAPI-dokumentation Få en API-nøgle

curl https://railwail.com/api/v1/images/generations \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "stable-diffusion-xl",
    "prompt": "A lighthouse on a rocky coast at sunset, photorealistic"
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/api/v1",
)

image = client.images.generate(
    model="stable-diffusion-xl",
    prompt="A lighthouse on a rocky coast at sunset, photorealistic",
)

print(image.data[0].url)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/api/v1",
});

const image = await client.images.generate({
  model: "stable-diffusion-xl",
  prompt: "A lighthouse on a rocky coast at sunset, photorealistic"
});

console.log(image.data[0].url);

// npm install railwail
import railwail from "railwail";

const rw = railwail(process.env.RAILWAIL_API_KEY);

const res = await rw.image("stable-diffusion-xl", "A lighthouse on a rocky coast at sunset, photorealistic");

console.log(res.data[0].url);

Indstil din nøgle som RAILWAIL_API_KEYOpret API-nøgle

Specifikationer

Model-ID: stable-diffusion-xl
Udvikler: Stability AI
Kategori: Billedgenerering
Input: Tekst
Output: Billede
Outputformater: WEBP, JPG, PNG
Fakturering: Efter forbrug (tokens eller GPU-tid)
Modelstørrelse: ~3.5B base U-Net + 6.6B refiner = ~10.1B total
Licens: CreativeML Open RAIL++-M license — open weights with usage restrictions (no NCII, CSAM, etc.). Commercial use permitted with these restrictions.
Katalogelement opdateret: 23. september 2026

Inputparametre

Inputs og indstillinger fra modellens inputskema. Eksemplet i API-afsnittet viser, hvilke af dem API'en accepterer.

ParameterTypeStandardTilladte værdier

promptpåkrævet
Type: Tekst
Standard: –
Tilladte værdier: –
width
Type: Valg
Standard: 1024
Tilladte værdier: 512, 768 eller 1024
height
Type: Valg
Standard: 1024
Tilladte værdier: 512, 768 eller 1024
negative_prompt
Type: Tekst
Standard: –
Tilladte værdier: –

Anvendelsestilfælde

Hvad det bruges til

Open-source creative pipelines (legacy)
Fine-tuning base for art-style models
ControlNet and IP-Adapter workflows
Community LoRA training
On-prem and air-gapped deployments
Educational and research use

Alle modeller i Billedgenerering

Ofte stillede spørgsmål

Hvad er Stable Diffusion XL?

Stable Diffusion XL er en model fra Stability AI i kategorien Billedgenerering. På Railwail kan du kalde den med en API-nøgle via Railwail API.

Hvad koster Stable Diffusion XL på Railwail?

På Railwail koster Stable Diffusion XL ≈ 0,0015 US$ pr. kørsel. Du betaler for det, som hver anmodning faktisk bruger. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.

Hvilke indstillinger understøtter Stable Diffusion XL?

Ifølge dens inputskema kender Stable Diffusion XL disse parametre: prompt, width (512, 768 eller 1024), height (512, 768 eller 1024) og negative_prompt.

Hvor hurtig er Stable Diffusion XL?

Der er endnu ikke nok målte kørsler af Stable Diffusion XL på Railwail til at angive en udførelsestid. Det afhænger af inputtet, indstillingerne og belastningen hos provideren.

Er Stable Diffusion XL bedre end FLUX 1.1 Pro?

Det afhænger af opgaven. Stable Diffusion XL (Stability AI) og FLUX 1.1 Pro (Black Forest Labs) er begge modeller i kategorien Billedgenerering. Sammenligningssiden viser deres priser og specifikationer side om side.

Sammenlign Stable Diffusion XL og FLUX 1.1 Pro

Hvordan bruger jeg Stable Diffusion XL via API'en?

Opret en Railwail API-nøgle og send din anmodning med model-ID'en stable-diffusion-xl. Kodeeksempler til curl, Python og JavaScript findes i API-sektionen på denne side.

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Brug Stable Diffusion XL via API'en

En API-nøgle til alle modeller på Railwail. Forbrug debiteres fra forudbetalte credits, 1 credit = 0,01 US$.

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