workflow-templates-broken-zap-2026-06-08/site/knowledge/models/chroma.md

Chroma

Chroma is an open-source 8.9 billion parameter text-to-image model based on the FLUX.1-schnell architecture, developed by Lodestone Rock and the community. It is fully Apache 2.0 licensed.

Model Variants

Chroma

• 8.9B parameter model based on FLUX.1-schnell
• Trained on a curated 5M sample dataset (from 20M candidates)
• Apache 2.0 license for unrestricted use
• Supports both tag-based and natural language prompting

Chroma XL

• Experimental merge and fine-tune based on NoobAI-XL (SDXL architecture)
• Low CFG (2.5-3.0) and low step count (8-12 steps)
• Optimized for fast generation on consumer hardware

Key Features

• Fully open-source with Apache 2.0 licensing
• Diverse training data spanning anime, artistic, and photographic styles
• Community-driven development with public training logs
• Compatible with FLUX ecosystem (VAE, T5 text encoder)
• Hanzo Studio workflow support
• LoRA and fine-tuning compatible
• GGUF quantized versions available for lower VRAM

Hardware Requirements

• Base model: 24GB VRAM recommended (BF16)
• Q8_0 quantized: ~13GB VRAM
• Q4_0 quantized: ~7GB VRAM
• Requires FLUX.1 VAE and T5 text encoder

Common Use Cases

• Open-source text-to-image generation
• Artistic and stylized image creation
• Community model fine-tuning and experimentation
• LoRA training for custom styles and characters

Key Parameters

• prompt: Text description or tag-based prompt
• steps: Inference steps (15-30 recommended)
• cfg_scale: Guidance scale (1-4, model uses low CFG)
• resolution: Output resolution (1024x1024 default)
• guidance: Flux-style guidance parameter (around 4)