AIKSK/MOSS MAX ULTRA QHD Text-to-Image
A high-resolution MOSS-Image text-to-image workflow using the MAX ULTRA LoRA. The active graph starts from a 2560 x 1440 latent canvas and saves a generated image. Main features: - MOSS-Image Base INT8 ConvRot with moss_hires_lora_test_v0.4.safetensors at strength 1, plus Qwen3.5 9B BF16 text encoder and FLUX.2 VAE. - One output-reachable Euler sampler at 40 steps, CFG 3, simple scheduler, fixed seed 9527. - Text prompt and negative prompt feed the generation path; no input image or tiled upscaling stage is connected. Suggested workflow: 1. Install the model, LoRA, text encoder, and VAE named
| Author / organization | AIKSK |
|---|---|
| Downloads | 14 (as reported by Civitai) |
| Likes | 1 |
| Task | text-to-image |
| Created | 25 October 2026 |
| Last updated at source | — |
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