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Poster REDMOND LoRA for FLUX.2-Klein-9B

Train a poster-style LoRA on FLUX.2-Klein-9B with the Poster trigger word.

2 sources cited Training LoRAs

On this page

  1. What the model does
  2. Base model and training
  3. Trigger words
  4. How to use it
  5. Recommendations and settings
  6. License
  7. Common errors and fixes
  8. FAQ
  9. Sources

Poster REDMOND LoRA for FLUX.2-Klein-9B

TL;DR:

What the model does

POSTER REDMOND is a LoRA adapter trained on FLUX.2-Klein-9B to bias generation toward poster-style imagery. The author trained it on a curated set of poster images, so outputs inherit the strong layout hierarchy, high contrast, and centered-subject framing typical of movie and event posters. It is intended for creators who want to turn a text prompt into a poster-ready composition without manual layout work afterward.

Base model and training

Property | Value --- | --- Base model | black-forest-labs/FLUX.2-klein-9B Format | Safetensors LoRA License | Apache 2.0 Trainer | artificialguybr (GPU time via Redmond.AI) The LoRA is distributed as a single weight file approximately 81 MB on the Civitai version. Hugging Face lists downloads: 115 and likes: 4 at the time of writing; Civitai reports the higher 1402 download figure for its packaged variant.

Trigger words

The sole trigger word is Poster. It must appear in the prompt text to activate the poster-style embedding. Example prompt:

Poster, a 1950s sci-fi movie, retro color palette, centered hero, bold sans-serif title

How to use it

ComfyUI (recommended):

  1. Place the .safetensors file into ComfyUI/models/loras/.
  2. Add a LoraLoader (or CLIPTextEncode with a LoraLoader) node.
  3. Set the model name to POSTER-REDMOND-FLUXKLEIN and strength around 0.6–0.9.
  4. Prefix your prompt with Poster.

Diffusers:

from diffusers import DiffusionPipeline, LoraLoader

pipe = DiffusionPipeline.from_pretrained("artificialguybr/POSTER-REDMOND-FLUXKLEIN")
pipe.load_lora_weights("artificialguybr/POSTER-REDMOND-FLUXKLEIN")
pipe.set_adapters(["POSTER-REDMOND-FLUXKLEIN"])

prompt = "Poster, cinematic, bold composition"
image = pipe(prompt, num_inference_steps=30, guidance_scale=3.5).images[0]

Recommendations and settings

There is no official recommended setting block on the model card, so treat this as a style LoRA and start conservatively. Begin with a LoRA strength of 0.6–0.9 and a CFG/guidance that matches your usual FLUX.2-Klein workflow. If poster elements overpower the subject, lower the strength; if the effect is too subtle, raise it.

License

Apache 2.0 — no restrictions on commercial use, redistribution, or derivative works, provided attribution is preserved.

Common errors and fixes

Error | Cause | Fix | Source --- | --- | --- | --- File not found when loading | Model file placed outside loras/ directory | Move the safetensors into ComfyUI/models/loras/ | HF README Weak poster effect | LoRA strength too low or trigger word missing | Add Poster to prompt and raise strength to 0.8 | HF README Output looks generic | Strength too high, swamping the base model | Lower strength to 0.5–0.7 | Author note

FAQ

Q: Is this trained on SDXL? A: No. It targets black-forest-labs/FLUX.2-klein-9B. Civitai carries a separate "Movie Poster Redmond" variant for SD XL — that is a different file.

Q: Can I use it in diffusers? A: Yes. The Hugging Face model is tagged diffusers and text-to-image.

Q: Do I have to credit Redmond.AI? A: Only if you reference the training-time donation. The license only requires Apache 2.0 attribution.

Sources