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mainbrains/sdxl-vfx-cinematic-lora
sdxl-vfx-cinematic-lora is a text-to-image model from mainbrains. Use it when you need an image from a text prompt. The card lists the license as creativeml-openrail-m.
A LoRA fine-tune of Stable Diffusion XL trained on high-resolution VFX reference frames and cinematic stills.
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Updated Aug 20, 2026
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From the Hugging Face model README
A LoRA fine-tune of Stable Diffusion XL trained on high-resolution VFX reference frames and cinematic stills.
This LoRA was trained to generate images with professional VFX aesthetics — 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 |
cinematic vfx — general cinematic VFX lookvolumetric — enhanced volumetric lighting and fogpractical fx — practical effects aesthetic (pyro, dust, debris)lens artifact — anamorphic flares, bokeh, chromatic aberrationLoad as a standard SDXL LoRA node. Recommended weight: 0.7–0.9.
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]
| Setting | Value |
|---|---|
| Sampler | DPM++ 2M Karras |
| Steps | 25–35 |
| CFG | 6.5–8.0 |
| LoRA weight | 0.7–0.9 |
| Resolution | 1024x1024 or 1216x832 |
CreativeML OpenRAIL-M — same as SDXL base.