Instructions to use GraydientPlatformAPI/jibmixreal9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/jibmixreal9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/jibmixreal9", 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:
- 9ff9b4c62af8517fda0e81da298ac7c907a6e62793498b565399a49cda9e26de
- Size of remote file:
- 246 MB
- SHA256:
- 461384f5a4d8c7800c0fd487569842555795e4bcc1ebaffebe35fdc090c3fe5d
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