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
| 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 |