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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Browse files
Bursting-Out-Wan-v2-brstingout.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d576b0f7a738bff4e74b9b517a6555ae6583af9744a7a3f1d189649cb9cf3ae1
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size 306848608
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images/Captura de pantalla 2025-11-10 a las 7.47.02.png
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Git LFS Details
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