Marketplace · 95+ models
Generative AI From prompt to production asset
Image generation, text-to-video, code assistants, multimodal models, and diffusion-based pipelines — for creative teams, product, and engineering.
Editor's pick
The generative ai model most teams reach for first.
FLUX.1 [dev]
State-of-the-art text-to-image with strong prompt adherence and typography.
Spec sheet
- Family
- Black Forest Labs
- Parameters
- 12B
- License
- FLUX.1 [dev] Non-Commercial
- Status
- Live
- Best for
- From prompt to production asset
- Sits in
- Generative AI
Pricing and routing rank visible on InferenceBench. Variants and quantisations appear in the Yobibyte deploy console.
The rest of the lineup
5 more in Generative AI. All deployable in one click.
Improved text rendering, multi-subject scenes, and photorealistic outputs.
Real-time single-step image generation for interactive tools.
Open-weights code model rivaling GPT-4 on HumanEval and SWE-Bench.
Open-weights text-to-video model producing 5s clips at 720p.
Text-to-music generation conditioned on prompt and reference melody.
Showing 6 of 95+. The full catalog (with quantisations, hardware variants, and per-region pricing) lives in the Yobibyte console.
Quick start
Five lines to your first generative ai call.
Every model in this category is reachable from the same Yobitel SDK. Swap the model name; the rest of the call shape stays identical. Authenticated via your workspace key.
from yobitel import Inference
# FLUX.1 [dev] — text-to-image
client = Inference(model="black-forest-labs/flux.1-dev")
image = client.generate(
prompt="A neon-lit cyberpunk skyline at dusk, ultra-detailed",
width=1024,
height=1024,
steps=28,
guidance=3.5,
)
image.save("output.png")Where teams ship this
Real generative ai. In production.
Four use cases that customers run today. Pick a model from the lineup above, deploy on Yobibyte, plug it into the surrounding stack. Done.
- 01
Marketing creative and product imagery
- 02
Code assistants and pair-programming
- 03
Video synthesis and post-production
- 04
Synthetic data generation
Frameworks
Bring what your team already knows
Yobitel handles the serving layer (GPU scheduling, KV cache, autoscaling, request batching) so your team focuses on the model and the product.
Learn about YobibyteExplore the rest
Other categories in the marketplace
Computer Vision
Object detection, image classification, segmentation
NLP & Language
Text generation, translation, sentiment, summarization
Data Analytics
Predictive analytics, forecasting, anomaly detection
Automation & RPA
Process automation, workflow AI, document processing
Industry-Specific
Vertical-specific models by industry
Speech & Audio
ASR, TTS, speaker diarization, audio classification
Recommendation
Recommender systems, personalization, content matching
Related Yobitel services
The teams behind Generative AI
Marketplace listings are the model layer. When the work needs labelled data, evaluation harnesses, production serving, or end-to-end pipelines, these are the Yobitel services teams that build them.
Yobitel service
Synthetic data generation
Programmatic synthesis with human-in-the-loop validation for generative training sets.
Open serviceYobitel service
Preference / RLHF / DPO
Preference signal collection for text-to-image, video, and audio generative models.
Open serviceYobitel service
Safety + red-team
Adversarial prompts, jailbreak attempts, and harm taxonomies for generative safety.
Open serviceYobitel service
AI inference
Diffusion, ASR, TTS, and multimodal serving at production scale.
Open serviceDon't see what you need?
Bring your own model or fine-tune one of ours. Yobitel engineers can sit with your team and ship the right stack.