Independent platform for generating, editing, and training with FLUX workflows
Open-source SDXL-based AI model for native high-resolution anime art generation
Stage
Not given
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Founded
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Based in
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Pricing model
Freemium
Open source
Pricing
Monthly plans: Standard $19.90/month or $9.90/month billed yearly (1,600 credits/month), Pro $59.90/month or $29.90/month billed yearly (5,400 credits/month), Max $149.90/month or $79.90/month billed yearly (16,000 credits/month). One-time credit packs: 1,000 credits for $9.90, 3,750 credits for $29
Free for personal and research use; prohibits closed-source proprietary monetization
Key features
Current general-purpose AI Studio with configured image and video models
Generation history and parameter reuse
Schema-driven controls based on model capabilities
Credit-based usage billing system
Planned: Curated LoRA model library with trigger words and license context
Planned: Guided managed LoRA training workflow
No local GPU or ComfyUI setup required
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
What makes it different
Dedicated Flux LoRA platform with planned discovery, generation, and managed training in one workspace
Browser-based workflow without local GPU or model file maintenance
Schema-driven controls that expose only fields supported by the selected model
Curated LoRA library with license context and base-model guidance planned
API access for integration into apps and internal workflows
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives