SDXL VFX Cinematic LoRA

A LoRA fine-tune of Stable Diffusion XL trained on high-resolution VFX reference frames and cinematic stills.

Overview

This LoRA was trained to generate images with professional VFX aesthetics β€” volumetric lighting, practical effects, lens artifacts, and cinematic color grading. Sourced from my own VFX reference library (~2,400 curated frames from personal compositing work and film breakdowns).

Parameter Value
Base model SDXL 1.0
LoRA rank 32
Training images 2,400
Resolution 1024x1024
Steps 3,000
Learning rate 1e-4
Optimizer AdamW8bit
Trained on RTX 4090, ~6 hours

Trigger Words

  • cinematic vfx β€” general cinematic VFX look
  • volumetric β€” enhanced volumetric lighting and fog
  • practical fx β€” practical effects aesthetic (pyro, dust, debris)
  • lens artifact β€” anamorphic flares, bokeh, chromatic aberration

Usage

ComfyUI

Load as a standard SDXL LoRA node. Recommended weight: 0.7–0.9.

Diffusers

from diffusers import StableDiffusionXLPipeline
import torch

pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16
).to("cuda")

pipe.load_lora_weights("mainbrains/sdxl-vfx-cinematic-lora")

image = pipe(
    "cinematic vfx explosion, volumetric lighting, film grain, anamorphic lens flare",
    num_inference_steps=30,
    guidance_scale=7.5
).images[0]

Recommended Settings

Setting Value
Sampler DPM++ 2M Karras
Steps 25–35
CFG 6.5–8.0
LoRA weight 0.7–0.9
Resolution 1024x1024 or 1216x832

Limitations

  • Best results at 1024x1024 or standard SDXL resolutions
  • May oversaturate at LoRA weights above 1.0
  • Trained on English captions only

License

CreativeML OpenRAIL-M β€” same as SDXL base.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support

Model tree for mainbrains/sdxl-vfx-cinematic-lora

Adapter
(9694)
this model