Instructions to use SidXXD/coarse_5-initialize_specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/coarse_5-initialize_specific with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/coarse_5-initialize_specific", dtype=torch.bfloat16, device_map="cuda") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 239a678394b74daf2650c4a4790affdff5b270e7b1c663b631fc7749dbbcd3fe
- Size of remote file:
- 76.7 MB
- SHA256:
- c036c1294f85dcf81071c5185cc9b45407f264d9d97090d821565d5885f9e82a
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