Instructions to use Mariobilly/ibd26-000003000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mariobilly/ibd26-000003000 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/ibd26-000003000") 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:
- d1024cd849c0ef839708ba0495438f88c54c46c20d2ed6d311584a5644338cbc
- Size of remote file:
- 170 MB
- SHA256:
- 928a7bf7dc2730c90c33c1c73141ca2d0e596d0f8d7714f3e6438bdb4ea6ee2f
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