Instructions to use peculiar/sbgrid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use peculiar/sbgrid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("peculiar/sbgrid") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 3,861 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/rgthree.compare._temp_qkicb_00069_.png
text: '-'
- output:
url: images/rgthree.compare._temp_qkicb_00067_.png
text: '-'
- output:
url: images/rgthree.compare._temp_qkicb_00065_.png
text: '-'
- output:
url: images/rgthree.compare._temp_qkicb_00035_.png
text: '-'
base_model: krea/Krea-2-Raw
instance_prompt: sbgrid, eight panel storyboard, 6 panel storyboard
---
# Krea2_sbgrid
<Gallery />
## Model description
# Cinematic Storyboard Generator LoRA
A LoRA trained to generate **coherent 8-panel cinematic storyboards from character, environment, and visual references**.
The model is designed to understand sequential visual storytelling rather than simply reproducing a static storyboard layout. It generates panels with deliberate changes in camera framing, perspective, composition, character performance, action, and environmental context to create a visual progression from beginning to end.
### Key Features
* 8-panel cinematic storyboard generation
* Sequential visual storytelling
* Strong shot-to-shot continuity
* Character consistency across panels
* Environment and spatial continuity
* Cinematic camera language
* Wide, medium, close-up, POV, over-the-shoulder, low-angle, high-angle and other varied shot types
* Action progression and visual pacing
* Character interaction and performance
* Establishing shots and environmental storytelling
* Visual escalation, climax and payoff
* Professional production-storyboard composition
### Style-Aware Generation
This LoRA is **not restricted to a single artistic style**.
It is designed to work alongside a supplied visual reference and preserve the reference's fundamental visual language.
For example:
* Photorealistic reference → photorealistic storyboard
* Anime reference → anime storyboard
* Manga reference → manga-style storyboard
* 3D/CGI reference → 3D/CGI storyboard
* Painterly reference → painterly storyboard
* Stylized concept art → matching stylized storyboard
* Other distinctive visual styles → preserve the supplied visual aesthetic
The objective is to make the **storyboard structure and cinematic visual storytelling consistent while allowing the source reference to determine the visual style**.
### Training Concept
The dataset consists of diverse cinematic storyboard sequences covering different characters, environments, genres, actions, compositions and visual styles.
The training focuses on learning:
**story progression + cinematic shot design + panel composition + continuity**
rather than memorizing specific characters, locations or stories.
### Recommended Trigger
`STORYBOARD8`
Example concept:
`STORYBOARD8, eight-panel cinematic storyboard of a woman entering an abandoned hotel and discovering a mysterious figure`
The LoRA is intended to be used with a compatible image-generation model capable of following reference images and maintaining visual consistency.
### Intended Use
Ideal for:
* Film pre-visualization
* Music video storyboards
* Animation planning
* Short-film development
* Video-generation planning
* Character action sequences
* Cinematic concept development
* Visual storytelling
* Shot planning
* AI video prompt development
This LoRA is intended to turn a **character + environment + story concept into a visually directed sequence of cinematic shots**, rather than simply producing eight variations of the same image.
## Trigger words
You should use `sbgrid` to trigger the image generation.
You should use `eight panel storyboard` to trigger the image generation.
You should use `6 panel storyboard` to trigger the image generation.
## Download model
[Download](/peculiar/sbgrid/tree/main) them in the Files & versions tab.
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