Instructions to use kerbitaliooo/vextharr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kerbitaliooo/vextharr 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("kerbitaliooo/vextharr") prompt = "A cinematic close-up of a vextharr, a bioluminescent deep-sea creature with translucent skin, drifting through a neon-colored coral reef." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9af81d3e316af9a7ac4d12b5b9a163c7e2f51d63227b80a26620e3ebd1bd3ae5
- Size of remote file:
- 192 MB
- SHA256:
- c7bc5330902ad3f2338104c60d419683a7659106d47219815718f98414772877
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