OmniGen V1
OmniGen V1 costs $0.120/image on FairStack — a text to image model for Mixed generation and editing workflows, Versatile creative pipelines, Unified model preference. 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 OmniGen V1?
OmniGen V1 is a unified image model that handles both text-to-image generation and image editing within a single architecture at $0.10 per image. This eliminates the need to switch between separate generation and editing models, streamlining creative workflows that alternate between creating new images and modifying existing ones. The model provides good overall quality across both generation and editing modes, with the architectural advantage that the same understanding of visual concepts applies to both tasks. Transitions between generating a new image and then editing it happen within the same model context, maintaining consistency. Compared to using separate specialized models like FLUX 2 Pro for generation and FLUX Kontext Pro for editing, OmniGen V1 offers convenience at the cost of peak quality in either mode. Specialized models outperform it on their specific task, but the overhead of switching models and maintaining consistent output across different architectures is eliminated. Best suited for mixed generation and editing workflows, creative pipelines that frequently switch between creating and modifying, versatile production needs, and users who prefer a single unified model over juggling specialized alternatives. Available on FairStack at infrastructure cost plus a 20% platform fee.
Key Features
What are OmniGen V1's strengths?
What are OmniGen V1's limitations?
What is OmniGen V1 best for?
How much does OmniGen V1 cost?
How does OmniGen V1 perform across capabilities?
OmniGen V1 — unified generation model supporting multiple tasks
How do I use the OmniGen V1 API?
curl -X POST https://api.fairstack.ai/v1/generations/image \
-H "Authorization: Bearer $FAIRSTACK_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "omnigen-v1",
"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": "omnigen-v1",
"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: "omnigen-v1",
prompt: "Your prompt here",
}),
}
);
const result = await response.json();
console.log(result.url);What parameters does OmniGen V1 support?
Frequently Asked Questions
How much does OmniGen V1 cost?
OmniGen V1 costs $0.120/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 OmniGen V1 and what is it best for?
OmniGen V1 is a unified image model that handles both text-to-image generation and image editing within a single architecture at $0.10 per image. This eliminates the need to switch between separate generation and editing models, streamlining creative workflows that alternate between creating new images and modifying existing ones. The model provides good overall quality across both generation and editing modes, with the architectural advantage that the same understanding of visual concepts applies to both tasks. Transitions between generating a new image and then editing it happen within the same model context, maintaining consistency. Compared to using separate specialized models like FLUX 2 Pro for generation and FLUX Kontext Pro for editing, OmniGen V1 offers convenience at the cost of peak quality in either mode. Specialized models outperform it on their specific task, but the overhead of switching models and maintaining consistent output across different architectures is eliminated. Best suited for mixed generation and editing workflows, creative pipelines that frequently switch between creating and modifying, versatile production needs, and users who prefer a single unified model over juggling specialized alternatives. Available on FairStack at infrastructure cost plus a 20% platform fee. OmniGen V1 is best for Mixed generation and editing workflows, Versatile creative pipelines, Unified model preference. Available via FairStack's REST API with curl, Python, and Node.js SDKs.
Does OmniGen V1 have an API?
Yes. OmniGen V1 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 OmniGen V1 compare to other image models?
OmniGen V1 excels at Mixed generation and editing workflows, Versatile creative pipelines, Unified model preference. It is a text to image model priced at $0.120/image on FairStack. Key strengths: Unified T2I and I2I in one model, Versatile workflow support. Compare all image models at fairstack.ai/models.
What makes OmniGen V1 stand out from other image generators?
OmniGen V1 stands out with unified t2i and i2i in one model and versatile workflow support. Generation typically completes in 5-15 seconds.
What are the known limitations of OmniGen V1?
Key limitations include: premium pricing at $0.10; jack-of-all-trades vs specialized models. FairStack documents these transparently so you can choose the right model for your workflow.
How fast is OmniGen V1?
OmniGen V1 typically completes in 5-15 seconds. This provides a good balance between output quality and processing speed for most production workflows.
What features does OmniGen V1 support?
OmniGen V1 offers: unified generation and editing; single architecture for both t2i and i2i; versatile workflow support; good overall quality. All capabilities are accessible through both the FairStack web interface and REST API.