Instructions to use Mariobilly/bghd001-000003000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mariobilly/bghd001-000003000 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/bghd001-000003000") 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:
- 0c91d6169e416db7fbb10143d899162c05aa50ea4b86f27ed3cab68b205359f0
- Size of remote file:
- 170 MB
- SHA256:
- 3c573e5a5bdcb8c60aa872f98a2034b876c3ee4e285b3fa5ed596e234c851b3b
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