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:
- 9db2b2c7e3a415145e24338f92a95a732c1f39c15d8f5f1c00e1c880cc619f35
- Size of remote file:
- 639 kB
- SHA256:
- 2ae102973ec9a58da7c6cb81fdc51cc761fd6506856b6bf161216a15adaa8656
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