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PosterMovie REDMOND LoRA: Generate Movie Posters with Z-Image-Turbo

Create high-quality movie poster images using this LoRA for Z-Image-Turbo. Trigger with 'Poster Movie.' for consistent cinematic results.

1 sources cited Training LoRAs

On this page

  1. What This Model Does
  2. Trigger Word
  3. Base Model
  4. Recommended Settings
  5. Example Outputs
  6. How to Use in ComfyUI
  7. License
  8. Common Errors and Fixes
  9. FAQ
  10. Sources

PosterMovie REDMOND LoRA for Z-Image-Turbo

TL;DR

What This Model Does

PosterMovie REDMOND is a Low-Rank Adaptation (LoRA) trained specifically on movie poster style imagery. It adapts the Tongyi-MAI/Z-Image-Turbo base model — a fast text-to-image turbo model — to produce cinematic movie poster compositions with high consistency.

The LoRA was trained using GPU compute sponsored by Redmond.AI and released by ArtificialGuyBR under the permissive Apache 2.0 license.

Trigger Word

Use the exact phrase Poster Movie. (including the period) in your prompt to activate the movie poster style. The model card emphasizes this trigger word for consistent results.

Base Model

Example Outputs

Sample generations show 768×1024 portrait images typical of movie poster aspect ratios. The outputs vary from:

This variety matches the range of styles found in real movie posters — from horror/thriller dark aesthetics to action/adventure warm palettes.

How to Use in ComfyUI

  1. Load the base Z-Image-Turbo model
  2. Add a LoRA loader node
  3. Select the PosterMovie REDMOND safetensors file
  4. Set LoRA strength (start around 0.8–1.0)
  5. Include Poster Movie. in your positive prompt
  6. Generate

License

Apache License 2.0 — permits commercial use, modification, and distribution with attribution.

Common Errors and Fixes

Error | Cause | Fix | Source

|-------|-------|-----|--------

Style not applying | Missing trigger word | Add Poster Movie. to prompt | Model card Wrong aspect ratio | Base model default | Use 768×1024 or 1024×768 for poster format | Image samples Poor quality | LoRA weight too high/low | Adjust strength 0.7–1.0 | Standard LoRA practice

FAQ

Q: Does this work with Automatic1111 / WebUI? A: The author recommends ComfyUI, but any interface that supports LoRA loading with the Z-Image-Turbo base model should work.

Q: What base model version exactly? A: Tongyi-MAI/Z-Image-Turbo (the turbo variant optimized for fast inference).

Q: Can I use this commercially? A: Yes, Apache 2.0 license allows commercial use with attribution.

Sources