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| 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 aberration1from diffusers import StableDiffusionXLPipeline
2import torch
3
4pipe = StableDiffusionXLPipeline.from_pretrained(
5 "stabilityai/stable-diffusion-xl-base-1.0",
6 torch_dtype=torch.float16
7).to("cuda")
8
9pipe.load_lora_weights("mainbrains/sdxl-vfx-cinematic-lora")
10
11image = pipe(
12 "cinematic vfx explosion, volumetric lighting, film grain, anamorphic lens flare",
13 num_inference_steps=30,
14 guidance_scale=7.5
15).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 |