Instructions to use tensor-diffusion/melaura-v1-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensor-diffusion/melaura-v1-0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tensor-diffusion/melaura-v1-0", dtype=torch.bfloat16, device_map="cuda") prompt = "melaura, girl, hd, pink lips, detailed, age 16, Off-shoulder top" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- aad91fb702e6e9ac812cc0d6e801bfd6d9dddce16897c632213b2b7d169b5ed4
- Size of remote file:
- 492 MB
- SHA256:
- da0c6eb8808f8330cf462e905444b692c72f7701db4add258d7cb8bc522d92e4
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