Instructions to use bglick13/minnie-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bglick13/minnie-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bglick13/minnie-diffusion", torch_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
- Xet hash:
- 05e16bb7a7b16ee271eb1bec1bd1b26d0a10a93aaaef57c69e5f246f3f495168
- Size of remote file:
- 455 MB
- SHA256:
- cd35499e177b87f0a0fe544b71cb45d0f62985c9812e301188e8fb5f7ca4d8df
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