Instructions to use Oreoganos/mrydrmbth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Oreoganos/mrydrmbth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Oreoganos/mrydrmbth", 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:
- 97de3d8ec92c6074cbe6002bf2bb09124fca1e0398eda5494cfe99b7291cd16d
- Size of remote file:
- 492 MB
- SHA256:
- b66c16aee30cab3045faff0f62c322d3561a24c596d10f05da5cd15f1b501e51
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