Instructions to use stablediffusionapi/brainime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/brainime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/brainime", 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:
- dd2c65da073aa0fdd40c62e052de0d5ceb04be5d1e0f6350fa31689504688a7a
- Size of remote file:
- 246 MB
- SHA256:
- 4f00032a7a71fbe9a0445bc10b44614bc65fd42887ac12e05c9a520f87d35281
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