Chroma
Chroma is an 8.9 billion parameter, uncensored text-to-image model built on FLUX.1-schnell architecture, designed for unrestricted creative expression with professional-grade output quality.
WaveSpeed WaveSpeed Uncensored text-to-image generation on FLUX architecture
Chroma is an 8.9 billion parameter text-to-image model developed by WaveSpeed AI, built on the FLUX.1-schnell architecture. It was trained using over 105,000 hours of NVIDIA H100 GPU time, with a dataset curated from 5 million selected images. The model is designed around a philosophy of unrestricted creative expression, removing the content filters found on many mainstream image generation platforms. It supports image output up to 1536×1536 pixels and is noted for clean renders, natural lighting, strong color harmony, and anatomical accuracy in human figures, hands, and faces.
Chroma is well-suited for commercial photography, digital illustration, character design, concept art, and medical or educational illustration where content restrictions would otherwise be a barrier. It handles complex, multi-element scenes involving people, props, and environments with strong prompt adherence. The model responds particularly well to structured prompts organized around subject, context, style, lighting, camera, and mood. It is available through WaveSpeed AI and is optimized for both single-shot and batch generation workflows.
What Chroma supports
Text-to-Image Generation
Generates images from text prompts using the FLUX.1-schnell architecture with 8.9 billion parameters. Supports output resolutions up to 1536×1536 pixels.
High-Resolution Output
Produces images at resolutions up to 1536×1536 pixels, configurable via numeric width and height inputs. Suitable for commercial and print-quality use cases.
Seed-Based Reproducibility
Accepts a seed input to enable deterministic image generation, allowing the same prompt and seed combination to reproduce consistent results across runs.
Anatomical Accuracy
Trained with a curated dataset of 5 million images to improve rendering of human figures, hands, and faces with reduced distortion artifacts.
Unrestricted Content Generation
Operates without the content restrictions present on many mainstream platforms, enabling mature artistic, medical, and experimental creative work.
Batch Workflow Support
Optimized for consistent generation across both single-shot and batch workflows, making it practical for high-volume creative production pipelines.
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Get Started FreeCommon questions about Chroma
What is the context window for Chroma?
Chroma has a context window of 10,000 tokens, which governs the length of text prompts it can process when generating images.
What architecture is Chroma based on?
Chroma is built on the FLUX.1-schnell architecture and has 8.9 billion parameters. It was trained using over 105,000 hours of NVIDIA H100 GPU time.
What image resolutions does Chroma support?
Chroma supports image output up to 1536×1536 pixels. Width and height are configurable via numeric inputs.
When was Chroma's training data collected?
According to the model metadata, Chroma's training date is listed as October 2025. Its dataset was curated from a pool of 5 million selected images.
Does Chroma have content restrictions?
Chroma is described as an uncensored model, meaning it does not apply the content filters common to many mainstream image generation platforms. It is intended for artists, designers, medical illustrators, and other professionals who require unrestricted creative output.
How can I get reproducible results with Chroma?
Chroma accepts a seed input. Using the same prompt, dimensions, and seed value will produce consistent, reproducible image outputs across generation runs.
What people think about Chroma
Community reception on r/StableDiffusion has been largely positive, with users praising Chroma's image quality, prompt adherence, and anatomical accuracy for human figures. The training completion announcement in August 2025 received over 1,400 upvotes and generated more than 300 comments, reflecting significant interest in the model's release.
Earlier discussions noted visible improvements in output quality over time, with users highlighting its handling of complex scenes and human anatomy as notable strengths. Some threads also touched on the model's uncensored nature as a key reason for adoption among artists and illustrators working outside mainstream platform constraints.
Update: Chroma Project training is finished! The models are now released.
Chroma is looking really good now.
Documentation & links
Parameters & options
A specific value that is used to guide the 'randomness' of the generation.
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