Emu 3.5 Edit
Emu 3.5 Edit costs $0.180/image on FairStack — a image editing model for Natural language image editing, Style transfer workflows, Scene modification. No subscription required. Pay per generation with full REST API access. FairStack applies a transparent 20% margin on infrastructure cost so you always see the real price.
What is Emu 3.5 Edit?
Emu 3.5 Edit is Meta's image editing model that modifies existing images based on natural language instructions. The model leverages Meta's multimodal research to interpret editing instructions and apply targeted changes to source images, handling style transfer, object modification, and scene edits with the quality expected from Meta's AI research division. At $0.15 per edit at standard resolution and $0.30 at 720p, pricing reflects Meta's research-grade model quality. The model uses aspect ratio control for output dimensions and requires a source image URL as input. The natural language instruction following enables intuitive editing without technical parameter specification. Compared to GPT Image I2I or Seedream Edit which offer different editing approaches, Emu 3.5 brings Meta's distinctive multimodal understanding to the editing task. Against FLUX Kontext Pro which focuses on surgical element-level edits, Emu 3.5 offers broader editing capabilities driven by natural language. Best suited for natural language image editing, style transfer workflows, and scene modification where Meta's research-grade instruction following produces accurate edits. Available on FairStack at infrastructure cost plus a 20% platform fee.
Key Features
What are Emu 3.5 Edit's strengths?
What are Emu 3.5 Edit's limitations?
What is Emu 3.5 Edit best for?
How much does Emu 3.5 Edit cost?
How does Emu 3.5 Edit perform across capabilities?
Estimated scores — Meta Emu 3.5 edit. Strong on editing/style, untested in production.
How do I use the Emu 3.5 Edit API?
curl -X POST https://api.fairstack.ai/v1/generations/image \
-H "Authorization: Bearer $FAIRSTACK_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "emu-3-5-edit",
"prompt": "Your prompt here"
}'import requests
response = requests.post(
"https://api.fairstack.ai/v1/generations/image",
headers={
"Authorization": f"Bearer {FAIRSTACK_API_KEY}",
"Content-Type": "application/json",
},
json={
"model": "emu-3-5-edit",
"prompt": "Your prompt here",
},
)
result = response.json()
print(result["url"])const response = await fetch(
"https://api.fairstack.ai/v1/generations/image",
{
method: "POST",
headers: {
Authorization: `Bearer ${process.env.FAIRSTACK_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "emu-3-5-edit",
prompt: "Your prompt here",
}),
}
);
const result = await response.json();
console.log(result.url);What parameters does Emu 3.5 Edit support?
Frequently Asked Questions
How much does Emu 3.5 Edit cost?
Emu 3.5 Edit costs $0.180/image on FairStack as of 2026-05-13. This price includes FairStack's transparent 20% margin on infrastructure cost. No subscription or monthly fee — you pay per generation only. Minimum deposit is $1.
What is Emu 3.5 Edit and what is it best for?
Emu 3.5 Edit is Meta's image editing model that modifies existing images based on natural language instructions. The model leverages Meta's multimodal research to interpret editing instructions and apply targeted changes to source images, handling style transfer, object modification, and scene edits with the quality expected from Meta's AI research division. At $0.15 per edit at standard resolution and $0.30 at 720p, pricing reflects Meta's research-grade model quality. The model uses aspect ratio control for output dimensions and requires a source image URL as input. The natural language instruction following enables intuitive editing without technical parameter specification. Compared to GPT Image I2I or Seedream Edit which offer different editing approaches, Emu 3.5 brings Meta's distinctive multimodal understanding to the editing task. Against FLUX Kontext Pro which focuses on surgical element-level edits, Emu 3.5 offers broader editing capabilities driven by natural language. Best suited for natural language image editing, style transfer workflows, and scene modification where Meta's research-grade instruction following produces accurate edits. Available on FairStack at infrastructure cost plus a 20% platform fee. Emu 3.5 Edit is best for Natural language image editing, Style transfer workflows, Scene modification. Available via FairStack's REST API with curl, Python, and Node.js SDKs.
Does Emu 3.5 Edit have an API?
Yes. Emu 3.5 Edit is available via FairStack's REST API at api.fairstack.ai. Send a POST request to /v1/generations/image with your API key and prompt. Works with curl, Python requests, Node.js fetch, and any HTTP client. No SDK installation required.
How does Emu 3.5 Edit compare to other image models?
Emu 3.5 Edit excels at Natural language image editing, Style transfer workflows, Scene modification. It is a image editing model priced at $0.180/image on FairStack. Key strengths: Natural language instruction following for edits, Good at style transfer. Compare all image models at fairstack.ai/models.
What makes Emu 3.5 Edit stand out for image editing?
Emu 3.5 Edit distinguishes itself with natural language instruction following for edits and good at style transfer. Generation typically completes in 5-15 seconds.
What are the limitations of Emu 3.5 Edit for editing?
Key limitations include: premium pricing at $0.15/edit ($0.30 at 720p); requires source image — not for text-to-image; less tested than gpt image or seedream edit models. FairStack documents these transparently so you can choose the right model for your workflow.
How fast is Emu 3.5 Edit?
Emu 3.5 Edit typically completes in 5-15 seconds. This provides a good balance between output quality and processing speed for most production workflows.
What features does Emu 3.5 Edit support?
Emu 3.5 Edit offers: natural language editing; source image + prompt workflow; style transfer and scene modification; meta's multimodal architecture. All capabilities are accessible through both the FairStack web interface and REST API.