Instructions to use Mrice1979/custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Mrice1979/custom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Mrice1979/custom", 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
- Xet hash:
- 2e799e9ead18373d4f7d24c9806287780f40c73ae7b8235b1f74c8b7b93433ee
- Size of remote file:
- 492 MB
- SHA256:
- 73f6a3c9089c0526feb815ebdd74f21c14ff30365088516041a5723701e9005f
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