Instructions to use g30rv17ys/customdbmodelv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use g30rv17ys/customdbmodelv4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("g30rv17ys/customdbmodelv4", 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
- Xet hash:
- 25ffe3637286085ee4aec25fcff27d95cca947a7999c39fe80fff6ca355789a5
- Size of remote file:
- 455 MB
- SHA256:
- 1c241d758cbc5bbed26ef731bb5d1503c3028c66045737f9217ffcf20752db71
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