📖 The AI Tool Bible

Flux vs HiDream

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Flux
Image Generation
HiDream
Image Generation
TaglineBlack Forest Labs' open-weights image model — rivals Midjourney quality.Open-source 17B image model with frontier quality, hosted on Vivago and free to self-host under MIT.
CategoryImage GenerationImage Generation
PricingFreemium· API per-image; weights free for [schnell] and [dev]Freemium· Free tier on vivago.ai; Basic $9.90/mo, Plus $29.90/mo, Pro $69.90/mo (monthly). Annual saves up to 50% (Basic $7.90/mo, Plus $19.90/mo, Pro $59.90/mo). Third-party API pricing (e.g. Fal): ~$1 per 20 Full runs, ~$1 per 33 Dev runs, ~$1 per 100 Fast runs.
ModelFlux.1 [schnell / dev / pro]HiDream-I1 (17B diffusion transformer) — Full, Dev, Fast variants
Editorial score9.0 / 10—
Use cases
open sourceself-hostedhigh quality
text-to-image generationconcept art and illustrationmarketing and social creativeproduct mockups and packshotseditorial and blog imageryfine-tuning a commercial base modelsynthetic training data generationself-hosted image API for appsbatch image generation via third-party API
Pros
  • Open weights for [schnell]/[dev] variants
  • Quality rivals Midjourney
  • Excellent prompt adherence
  • Self-hostable
  • Frontier-quality output that benchmarks above other open-source models (FLUX, SD 3.5, AuraFlow) on GenEval and DPG
  • Permissive MIT license on the model weights — usable commercially and fine-tunable without royalty
  • Three variants (Full / Dev / Fast) let you dial quality against latency and cost
  • Runs both as a hosted service on vivago.ai and as self-hosted weights on your own GPUs
  • Available through multiple API providers (Vivago, Fal, Runware) so you're not locked to one vendor
  • Diffusers-library integration makes it easy to plug into existing Python pipelines
  • Uncensored base model gives more prompt latitude than Midjourney or DALL-E for legitimate creative work
Cons
  • [pro] is API-only
  • Self-hosting needs serious GPU
  • 17B parameters means Full-quality inference wants a high-VRAM GPU (24 GB+) for local use
  • Vivago's hosted UI is less mature and less prompt-documented than Midjourney or Ideogram
  • Being uncensored puts safety and rights-compliance work back on the deploying team
  • Fewer community LoRAs, ControlNets and tooling than the older SD/FLUX ecosystems
  • Vivago's subscription model gates the highest-throughput and best editing features behind Plus/Pro tiers
Websiteblackforestlabs.aivivago.ai
Pick Flux if
  • ✅ Open weights for [schnell]/[dev] variants
  • ✅ Quality rivals Midjourney
  • ✅ Excellent prompt adherence
  • ✅ Self-hostable
Pick HiDream if
  • ✅ Frontier-quality output that benchmarks above other open-source models (FLUX, SD 3.5, AuraFlow) on GenEval and DPG
  • ✅ Permissive MIT license on the model weights — usable commercially and fine-tunable without royalty
  • ✅ Three variants (Full / Dev / Fast) let you dial quality against latency and cost
  • ✅ Runs both as a hosted service on vivago.ai and as self-hosted weights on your own GPUs
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