Instructions to use msoz7/stableDiffusionMel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use msoz7/stableDiffusionMel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("msoz7/stableDiffusionMel", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 48933c26d6ff495f1e7c0a5b0016e5fefaa08ac2a7bcefb05d01ffcd1d9976ca
- Size of remote file:
- 492 MB
- SHA256:
- d64b2d8dc89b319f7ee698c2a782971ed8ea1d94cf8d2c66d2a1916ab533a1a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.