Instructions to use Googh23/bdgv11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Googh23/bdgv11 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Googh23/bdgv11", dtype=torch.bfloat16, device_map="cuda") 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
Commit History
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Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (73eaf28808467fae8e0b2c968b7b270f4b9dd590)75dc01b -
Rename model/bdgv11.safetensors to bdgv11.safetensors
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initial commit
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