Instructions to use Mariobilly/arr26-000003000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mariobilly/arr26-000003000 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/arr26-000003000") 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:
- cdedd44a30683a2de82dfaf9545513c27b1a1a03a9a41a3566ee9d1a305a01ab
- Size of remote file:
- 720 kB
- SHA256:
- e046e39c41d910884f773f2753b40e27b75e5e1d19ed02ba001cc30ea90b609d
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