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:
- 31222ac44232fba7218669c7bbbe89bd533b094d0e15926e95d4ef690f107e88
- Size of remote file:
- 3.44 GB
- SHA256:
- 67b832932b00f947b9605ea37205a1c69a48346193f63f195038b732c1a5bd43
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