Instructions to use nickqian/CinematicStyle-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nickqian/CinematicStyle-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nickqian/CinematicStyle-v1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL-CinematicStyle-v1.0
π Model Overview
| Item | Details |
|---|---|
| Base Model | stabilityai/stable-diffusion-xl-base-1.0 |
| Model Type | SDXL Full Checkpoint (safetensors format, ~6.8GB) |
| Fine-tuning Data | 8000 high-resolution (1024Γ1024) classic movie frames (Sci-Fi/Neo-Noir/Drama/Epic) |
| Fine-tuning Method | Full parameter fine-tuning (fp16 mixed precision) |
| License | Apache-2.0 (commercial/non-commercial use allowed) |
| Compatibility | Diffusers >=0.24.0 / Stable Diffusion WebUI / ComfyUI |
| Core Feature | Movie-level lighting/composition/color grading rendering |
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Model tree for nickqian/CinematicStyle-v1
Base model
stabilityai/stable-diffusion-xl-base-1.0