Instructions to use tensor-diffusion/melaura-v1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tensor-diffusion/melaura-v1-1 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-v1-1", 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:
- 8e5f00d4829f15bd5569924773b7eb4ae9d70702392e32965ac314eb20aec351
- Size of remote file:
- 3.44 GB
- SHA256:
- da42bf9788d2b87eb4542c3f4a4bf94843593a3a4ac34c2d01c8c7c84c69d554
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