Instructions to use Mariobilly/rad26-000002250 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mariobilly/rad26-000002250 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/rad26-000002250") 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:
- 7fd057680fd4a53ce634ce46acb289a7be365fa792128fc5d63951a093969bc7
- Size of remote file:
- 917 kB
- SHA256:
- ee1230c7e2597c86195250e39a8a05a9c17ae0ce73ce2881838e331b3748def7
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