Instructions to use Mariobilly/mschcine26-000000750 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mariobilly/mschcine26-000000750 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Mariobilly/mschcine26-000000750") 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:
- e5245f10cfa5351430c601295ee4c3e642eeabbed43b78cb2f3e5e2cf8b3b768
- Size of remote file:
- 170 MB
- SHA256:
- 01303aa1b24a465abf7f7b884cee59388560762b61bb466efaa93dabff32ecfc
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