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
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https://huggingface.co/Rand000mGuy/burstingout/resolve/main/README.md
- Command line
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hf download hf://Rand000mGuy/burstingout/README.md
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curl -L -o README.md https://huggingface.co/Rand000mGuy/burstingout/resolve/main/README.md
388 Bytes
| 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 | |
| <Gallery /> | |
| ## Download model | |
| [Download](/Rand000mGuy/burstingout/tree/main) them in the Files & versions tab. | |