Instructions to use BriceJoshy/bmw-m8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BriceJoshy/bmw-m8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BriceJoshy/bmw-m8", 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
BMW-M8 Dreambooth model trained by BriceJoshy following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: 20B021
Sample pictures of this concept:
Sample 1: an image of a full body with back maroon xzg on a table with legs
Sample 2: A xzg
Sample 3: An image of xzg on a beach
Sample 4: pink xzg with a man on it
Sample 5: an image of a violet xzg inside a dim old rusty poor warehouse
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