Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
lora
cinematic
interstellar
nolan
christopher-nolan
Instructions to use Andy-ML-And-AI/Absolute-Cinema-AI-Tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Andy-ML-And-AI/Absolute-Cinema-AI-Tiny with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Andy-ML-And-AI/Absolute-Cinema-AI-Tiny") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 3,235 Bytes
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license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- lora
- cinematic
- interstellar
- nolan
- christopher-nolan
- text-to-image
---
# Absolute-Cinema-AI-Tiny
A cinematic LoRA fine-tuned on *Interstellar (2014)* stills,
trained on 910 curated frames to capture Hoyte van Hoytema's
iconic cinematography style β heavily inspired by the visual storytelling of Christopher Nolan.
## Disclaimer
This is a **tiny experimental LoRA**, not a production-grade model.
Results can be inconsistent, and in many cases, quality may fall short compared to larger or better-trained models. Think of this more as a **proof-of-concept / early iteration** rather than a polished release.
That said β it can still produce some surprisingly cinematic shots if prompted well
## Usage
**Trigger word:** `ISTELLAR`
## Example Prompt
ISTELLAR, cinematic masterpiece, hoyte van hoytema,
anamorphic lens flare, 70mm film grain, IMAX format,
dramatic natural lighting, shallow depth of field,
teal and orange color grading, [your scene here]
---
## Training
- **Base model:** SD 1.5
- **Images:** 910
- **Epochs:** 8
- **Network:** LoCon (dim 32, alpha 16)
---
## Performance
- **Size: 1.8GB**
- Strong cinematic composition out-of-the-box
- Handles lighting, contrast, and framing exceptionally well
- Works best with detailed prompts (camera terms = boost)
- Minimal overfitting despite stylization
---
## Generation Time (Estimated on T4)
*(No upscaling unless stated otherwise)*
| Resolution | Aspect Ratio | Label | Time (Approx) |
|------------------|-------------|---------------|--------------|
| 512Γ512 | 1:1 | Square | ~8β12 sec |
| 768Γ768 | 1:1 | Square HD | ~20β36 sec |
| 1024Γ1024 | 1:1 | Square HQ | ~32β45 sec |
| 768Γ432 | 16:9 | Cinematic | ~10β16 sec |
| 1024Γ576 | 16:9 | Cinematic HD | ~18β23 sec |
| 1280Γ720 | 16:9 | HD (720p) | ~25β35 sec |
| 1920Γ1080 | 16:9 | Full HD | ~45β60 sec |
| 2048Γ858 | ~2.39:1 | Ultrawide | ~65β110 sec |
| 3840Γ2160* | 16:9 | IMAX / 4K | ~120β240 sec |
> *4K/IMAX typically achieved via 4Γ upscaling pipeline*
> Times vary based on steps, guidance scale, and VRAM optimization settings
> **NOTE: Upscaler is buit in!**
---
## Notes
- Designed for cinematic realism, not anime/cartoon styles
- Best paired with camera/film keywords (IMAX, 70mm, anamorphic, etc.)
- Works insanely well for space, landscapes, and emotional close-ups
- Exeptions are humans and anything human body related unless specified very much
---
## Future Work
| Version | Base Model | Dataset | Status |
|---|---|---|---|
| **Absolute-Cinema-AI-Medium** | SDXL 1.0 | Interstellar + Oppenheimer | Next |
| **Absolute-Cinema-AI-Large** | SDXL 1.0 | All 4 movies | Planned |
| **Absolute-Cinema-AI-XL** | Flux.1-dev | All 4 + extra Nolan | Someday |
## Credits
- Cinematography inspiration: Hoyte van Hoytema
- Style influence: Christopher Nolan
- Creator: Andy-ML-And-AI |