Poster Style REDMOND LoRA for Flux, Qwen, and ZImage
LoRA for generating consistent poster-style images across Flux, Qwen, and ZImage base models with the POSTER trigger word.
On this page
Poster Style REDMOND LoRA
TL;DR
- LoRA trained on poster aesthetics for Flux.2 Klein 9B, Qwen Image, and ZImageTurbo
- Trigger word:
POSTER(with period) - Apache 2.0 license, 81 MB SafeTensor, works best in ComfyUI
What This Model Does
Poster Style REDMOND is a specialized LoRA that applies a cohesive poster art style to generated images. It was trained on curated poster-style images and produces outputs with strong visual consistency — bold compositions, graphic design sensibilities, and the distinctive look of illustrated posters. The model supports three major base model families: ZImageTurbo, Qwen Image, and Flux.2 Klein 9B, making it versatile across different generation backbones.

Training and Technical Details
- Base models: ZImageTurbo, Qwen Image, Flux.2 Klein 9B
- Trigger word:
POSTER.(include the period) - Format: SafeTensor, 81.15 MB
- License: Apache License 2.0
- Published: March 2, 2026 (verified 6 months ago)
- Training compute: GPU time sponsored by Redmond.AI
The LoRA uses the trigger word POSTER. to activate the style. Civitai's model card recommends using ComfyUI for best results, loading the LoRA into your standard workflow.
How to Use
ComfyUI (Recommended)
- Download the SafeTensor file from Civitai
- Place in
ComfyUI/models/loras/ - Add a Load LoRA node to your workflow
- Select
poster-style-redmond.safetensors - Set strength (start at 0.8–1.0)
- Include
POSTER.in your positive prompt
Automatic1111 / WebUI
- Download and place in
models/Lora/ - Refresh the model list
- Add
<lora:poster-style-redmond:0.8>to your prompt - Include
POSTER.in the prompt text
Diffusers (Python)
from diffusers import FluxPipeline
import torch
pipe = FluxPipeline.from_pretrained(
"black-forest-labs/FLUX.1-dev",
torch_dtype=torch.bfloat16
).to("cuda")
pipe.load_lora_weights(
"path/to/poster-style-redmond.safetensors",
adapter_name="poster"
)
pipe.set_adapters(["poster"], adapter_weights=[0.8])
image = pipe("POSTER. a vintage travel poster of mars, retro aesthetic").images[0]
Recommended Settings
Setting | Value
|---------|-------
LoRA Weight | 0.7–1.0 Trigger Word | POSTER. Sampler | Euler a / DPM++ 2M Karras Steps | 20–30 CFG Scale | 3.5–7 (Flux), 5–7 (Qwen/ZImage) Resolution | 1024x1024 or 1024x1536 
Example Prompts
POSTER. vintage travel poster of japan, mount fuji, cherry blossoms, retro color palette, textured paper effect
POSTER. movie poster style, cyberpunk cityscape, neon lights, high contrast, bold typography space
POSTER. educational anatomy poster, scientific illustration, clean lines, labeled diagrams, vintage textbook aesthetic
Common Errors and Fixes
Error | Cause | Fix
|-------|-------|-----
Style not applying | Missing trigger word | Add POSTER. at prompt start Overcooked/burned look | LoRA weight too high | Reduce to 0.6–0.7 Base model mismatch | Using wrong base | Match LoRA to ZImageTurbo/Qwen/Flux Klein Low quality outputs | Too few steps | Increase to 25–30 steps
FAQ
Q: Does this work with SDXL or SD 1.5? A: No. This LoRA is specifically trained for ZImageTurbo, Qwen Image, and Flux.2 Klein 9B only.
Q: What's the difference between the three base model versions? A: The same LoRA file works across all three base models. The Civitai page lists separate version entries for each compatible base model, but it's a single SafeTensor file.
Q: Can I use this commercially? A: Yes, the Apache 2.0 license permits commercial use, modification, and distribution.
Q: Why ComfyUI over A1111? A: The author specifically recommends ComfyUI for best results, likely due to better Flux/Qwen native support in ComfyUI's workflow system.
Sources
- Model page: https://civitai.com/models/2433289
- Download: https://civitai.com/api/download/models/2735956
- Author portfolio: https://artificialguy.com/
- Redmond.AI (compute sponsor): https://redmond.ai/
*Part of the ArtificialGuyBR model collection. Explore more Flux LoRAs and poster-style models.