curl-X POST 'https://pollo.ai/api/platform/v1/generation/pollo-ai/pollojourney-v8-1-image/image'\-H'Content-Type: application/json'\-H'x-api-key: YOUR_API_KEY'\-d'{ "input": { "prompt": "A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field", "aspectRatio": "1:1", "resolution": "1K" }}'
Optional kann webhookUrl angegeben werden, um eine Rückruffunktion zu erhalten, wenn die Aufgabe erfolgreich war oder fehlschlug.
Optionales Anfragefeld
{"input":{"prompt":"A cinematic shot of a golden retriever running through a field of sunflowers at sunset, warm rim light, shallow depth of field","aspectRatio":"1:1","resolution":"1K"},"webhookUrl":"https://example.com/webhooks/pollo"}
Schema
Eingabefelder für den ausgewählten Endpunkt und Modus.
Feld
Typ
Erforderlich
Beschreibung
prompt
string
Ja
Text prompt describing the content to generate.
seed
integer
NEIN
Random seed for reproducible generation.
aspectRatio
string
NEIN
Output aspect ratio, as width:height (e.g. 16:9).
resolution
string
NEIN
Output resolution of the generated media (e.g. 720p, 1080p, 2K, 4K). Values are case-insensitive.
Prompt fidelity is the headline here. PolloJourney V8.1 reads a description closely, keeps small details intact, and renders them sharply, so what you write is what the image shows.
With PolloJourney V8.1 on Pollo API, developers add text-to-image, image-to-image, and multi-image workflows to their apps, generating 1K drafts or 2K HD stills per request.
Key Features of PolloJourney V8.1 API
Direct Prompt Adherence
The model tracks subjects, attributes, and spatial relationships in a prompt precisely, so complex descriptions land on the first pass instead of forcing repeated rerolls.
Small-Detail Retention
Fine elements like text on a label, jewelry, hands, and background props stay coherent, holding up under zoom where lighter image models tend to smear or invent shapes.
HD 2K Output
Generations run at 1K for fast iteration or 2K for high-resolution stills, giving enough pixel density for print mockups, hero art, and detail-heavy compositions.
Image-Guided Editing
Feed one reference image or several, and PolloJourney V8.1 reworks composition, subject, or style while keeping the guidance you supplied, useful for variations and asset remixes.
Multi-Image Blending
Combining multiple source images in a single request lets the model merge subjects, palettes, or scenes into one coherent frame instead of stitching them together crudely.
Style Direction
A dedicated style cue steers the overall look, from photoreal to illustrated, so a single integration can hold a consistent visual identity across a batch of prompts.
Use Cases of PolloJourney V8.1 API
Product Detail Renders: Generate 2K stills of physical goods where stitching, texture, and label text must stay legible for catalog and listing use.
Concept Art Iteration: Explore characters, environments, and props from text, trusting close prompt adherence to keep briefs on target across variations.
Reference-Driven Variations: Feed an existing image and produce restyled or recomposed versions while preserving the subject creators started from.
Multi-Source Compositing: Merge separate reference images, such as a subject and a backdrop, into one blended frame for mockups and mood pieces.
Editorial and Blog Art: Produce HD illustrations tied tightly to article prompts, giving content tools consistent, on-brief header images.
Print-Ready Mockups: Output high-resolution frames with retained fine detail for posters, packaging comps, and merchandise previews.
Batch Visual Assets: Drive a style cue across many prompts to keep app-generated images visually consistent for a brand or campaign.
Character and Prop Sheets: Build detailed, prompt-faithful reference imagery for game, animation, and storyboard pipelines.
How to Use PolloJourney V8.1 API
Get an API Key: Create a Pollo API account and generate your key from the developer dashboard.
Choose the Model: Send requests to the PolloJourney V8.1 endpoint at /generation/pollojourney/pollojourney-v8-1-image/image.
Add Your Inputs: Provide a prompt, or add imageUrl or images for image-guided runs, then set aspectRatio and resolution (1K or 2K).
Generate and Retrieve: Submit the task, poll the returned task status, and download the image once processing succeeds.
Prompting Best Practices for PolloJourney V8.1 API
Write prompts as precise visual specs. Because the model follows detail closely, naming the subject, key attributes, composition, and lighting gives it clear targets and reduces guesswork.
A Simple Prompt Formula
Subject + specific attributes and details + composition and framing + style or medium + lighting and mood
What You Should Notice
Spell Out Small Details: Name the elements that must be exact, such as label text, patterns, or hand pose, since retention is a core strength.
Set The Style Early: State photoreal, illustration, or a medium up front so the look stays consistent across a batch.
Frame The Composition: Describe angle, distance, and layout to control where subjects sit rather than leaving placement to chance.
Match Resolution To Use: Pick 2K for print or detail work and 1K for quick iteration and drafts.
Guide With References: When you supply images, describe what to keep and what to change so edits stay intentional.
Example Prompts
Detailed Product Still
"A ceramic pour-over coffee dripper on a slate counter, visible glaze texture and a small embossed logo, steam rising from fresh grounds, top-down composition, soft window light, photoreal style, 2K resolution."
Character Concept Art
"A weathered desert cartographer in layered linen robes, brass instruments on a worn belt, sun-cracked skin and detailed stitching, three-quarter portrait, painterly illustration style, warm late-afternoon backlight."
Reference-Guided Restyle
"Using the supplied portrait, keep the subject's face and pose, restyle the scene into a 1970s film-grain aesthetic with muted earth tones, add a softly blurred bookshelf background, medium close-up framing."
Multi-Image Blend
"Blend the provided sneaker image with the supplied graffiti wall backdrop into one frame, sneaker centered on a concrete ledge, sharp material detail, urban daylight, editorial product composition, 2K resolution."
PolloJourney V8.1 vs Midjourney v7 vs FLUX.1 [pro]
Capability
PolloJourney V8.1
Midjourney v7
FLUX.1 [pro]
Prompt adherence
✅ Close attribute and detail tracking
✅ Strong, more stylized interpretation
✅ Strong literal adherence
Small-detail retention
✅
✅
✅
Resolution options
1K and 2K
Up to high-res upscales
High-res output
Image-to-image
✅
✅
✅
Multi-image blending
✅
✅
✅
Recommended For
Prompt-faithful HD stills and reference edits
Highly stylized art direction
Literal text-driven photoreal work
Why Choose PolloJourney V8.1 API?
PolloJourney V8.1 fits products that need prompt-faithful images with retained fine detail, from HD product renders to concept art and reference-guided edits at 1K or 2K.
Through Pollo API, you reach PolloJourney V8.1 with one API key alongside 300+ leading image and video models, with clean docs, task status polling, and generation that costs less than Fal AI.
Integrate the PolloJourney V8.1 endpoint on Pollo API to ship detail-accurate image features, then compare it against other image models without rewriting your integration.
PolloJourney V8.1 API FAQs
What is PolloJourney V8.1?
PolloJourney V8.1 is an image generation model focused on prompt adherence, small-detail retention, and HD output, supporting text-to-image, image-to-image, and multi-image workflows.
Does PolloJourney V8.1 API support image inputs?
Yes. You can generate from text alone, guide with a single reference image, or blend several source images into one frame for edits and variations.
What resolutions does it support?
PolloJourney V8.1 outputs at 1K for fast iteration and 2K for high-resolution stills, chosen per request depending on whether you need drafts or final detail.
Which aspect ratios are available?
The model covers common ratios including 1:1, 16:9, 9:16, 3:2, 2:3, 4:3, and 3:4, so images fit square, landscape, and portrait layouts.
How well does it keep fine detail?
Detail retention is a core strength, so label text, textures, and intricate elements stay coherent under zoom rather than blurring or distorting.
Why run PolloJourney V8.1 through Pollo API?
Pollo API gives one integration for PolloJourney V8.1 and 300+ other models, with clear documentation, task tracking, and lower-cost generation than comparable providers.
