Instructions to use Rand000mGuy/burstingout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rand000mGuy/burstingout with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/wan22_i2v_14b_orbit_shot_lora", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rand000mGuy/burstingout") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Rand000mGuy/burstingout: direct link, hf CLI and curl.
- Browser
- Download file 388 Bytes
-
https://huggingface.co/Rand000mGuy/burstingout/resolve/main/README.md
- Command line
-
hf download hf://Rand000mGuy/burstingout/README.md
-
curl -L -o README.md https://huggingface.co/Rand000mGuy/burstingout/resolve/main/README.md
388 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Captura de pantalla 2025-11-10 a las 7.47.02.png
text: Screenshot
base_model: ostris/wan22_i2v_14b_orbit_shot_lora
instance_prompt: null
Burstig out

- Prompt
- Screenshot
Download model
Download them in the Files & versions tab.