Instructions to use ir1d/apple_db_800 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ir1d/apple_db_800 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ir1d/apple_db_800", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 4974c8f8d360fc9dc78baf4b9293bedbf1daf53356a9c134ee31024e33275fe9
- Size of remote file:
- 3.44 GB
- SHA256:
- 58545fe351e7e3732d4182be10f635ec41a86c8f68cf0748ec9e3eb29b2ea8fc
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