<div data-youtube-video="https://youtu.be/bvntROsEru0"><iframe src="https://www.youtube.com/embed/bvntROsEru0" width="853" height="480" allowfullscreen></iframe></div> 
 
A compact Kromoss text-to-image recipe pairing the Kromoss INT8 model with the connected DMD2 acceleration LoRA. Its active sampler is set to eight diffusion steps. 
 
Main features: 
- kromoss_int8_convrot.safetensors with 8-steps-dmd2-lora.safetensors at strength 1. 
- Qwen3.5 9B BF16 text encoder and FLUX.2 VAE; 1024 x 1024 latent canvas. 
- Euler sampler at 8 steps, CFG 1, simple scheduler, fixed seed 9527; one SaveImage output. 
 
Suggested workflow: 
1. Install the Kromoss model, DMD2 LoRA, text encoder, and VAE, then load the JSON. 
2. Edit the text prompt and generate a baseline at the supplied eight-step setting. 
3. Compare results across different subjects and record actual processing time on your hardware. 
 
Eight steps describes sampler iterations, not eight seconds. Speed and image quality depend on the machine and prompt. The paired cover is promotional artwork, not a measured output of this JSON. 
 
RunningHub AI workflow: https://www.runninghub.ai/zh-cn/post/2114399595850051585?inviteCode=rh-v1111 
RunningHub signup: https://www.runninghub.ai/?inviteCode=rh-v1111 
Bilibili video: https://www.bilibili.com/video/BV1UYnU6qEGK/ 
Related model files: https://pan.quark.cn/s/9ec095b95838

Kromoss 8-Step Text-to-Image

<div data-youtube-video="https://youtu.be/bvntROsEru0"></div> 
 
A compact Kromoss text-to-image recipe pairing the Kromoss INT8 model with the connected DMD2 acceleration LoRA. Its active sampler is set to eight diffusion steps. 
 
Main features: 
- kromoss_int8_convrot.safetensors with 8-steps-dmd2-lora.safetensors at strength 1. 
- Qwen3.5 9B BF16 text encoder and FLUX.2 VAE; 1024 x 1024 latent canvas. 
- Euler sampler at 8 steps, CFG 1, simple scheduler, fixed seed 9527; one SaveImage output. 
 
Suggested workflow: 
1. Install the Kromoss model, DMD2 LoRA, text encoder, and VAE, then load the JSON. 
2. Edit the text prompt and generate a baseline at the supplied eight-step setting. 
3. Compare results across different subjects and record actual processing time on your hardware. 
 
Eight steps describes sampler iterations, not eight seconds. Speed and image quality depend on the machine and prompt. The paired cover is promotional artwork, not a measured output of this JSON. 
 
RunningHub AI workflow: https://www.runninghub.ai/zh-cn/post/2114399595850051585?inviteCode=rh-v1111 
RunningHub signup: https://www.runninghub.ai/?inviteCode=rh-v1111 
Bilibili video: https://www.bilibili.com/video/BV1UYnU6qEGK/ 
Related model files: https://pan.quark.cn/s/9ec095b95838

Files with SHA256: 948d103ca248c8a586c1cf12c42c79bd0b4c1cabc46ffcfd4372f2057b026c7e