Chroma1-HD-iOS

Chroma1-HD — iOS bundle

<p align="center"> <a href="https://github.com/haplollc/Mirage"><img alt="Mirage" src="https://img.shields.io/badge/Runs%20on-Mirage-orange" /></a> <a href="https://huggingface.co/lodestones/Chroma1-HD"><img alt="Upstream" src="https://img.shields.io/badge/Upstream-lodestones%2FChroma1--HD-blue" /></a> <img alt="License" src="https://img.shields.io/badge/license-Apache--2.0-lightgrey" /> <img alt="Params" src="https://img.shields.io/badge/params-8.9B-purple" /> </p>

A mobile-friendly bundle of Chroma1-HD (8.9B Flux-derived DiT) packaged with T5-XXL + Flux VAE, sized for on-device inference via Mirage.

Chroma1-HD is the high-resolution flagship variant from lodestones/Chroma1-HD — fully open weights built on FLUX.1's architecture with significant retraining for general-purpose generation. Excellent at photorealism, illustration, and concept work.

What's inside

Total bundle: ~14.5 GB. Total GPU residency: ~15-16 GB. iPhone 17 Pro / Air (12 GB) or M-series Mac required. Older iPhones cannot hold this model.

Quick start (Mirage)

import Mirage

let docs = FileManager.default.urls(for: .documentDirectory, in: .userDomainMask)[0]

let engine = try Engine(models: ModelFiles(
    diffusionModel: docs.appendingPathComponent("Chroma1-HD-Q4_K_S.gguf"),
    vae:            docs.appendingPathComponent("ae.safetensors"),
    textEncoder:    docs.appendingPathComponent("t5xxl_fp16.safetensors")
))

let image = try await engine.generate(.init(
    prompt: "a Hopper-style oil painting of an empty diner at dawn, soft warm light",
    width: 1024, height: 1024,
    steps: 28,
    cfgScale: 4.0    // Chroma's recommended CFG
))

Provenance

Sizing

• iPhone 17 Pro / Air (12 GB RAM) — works but tight; expect ~8 min per 1024² image.
• iPhone 16 Pro (8 GB RAM) — does NOT fit. The text encoder alone is 9 GB. Use Z-Image-Turbo-iOS instead.
• M2 / M3 Mac — comfortable, ~4-6 min per 1024² image at 28 steps.

Built by

Haplo · Mirage on GitHub