Instructions to use GraydientPlatformAPI/magmix9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/magmix9 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/magmix9", 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:
- 56047b2977b969f85defccce69841942e405f6a2808683f8f5fd5636c5df8fae
- Size of remote file:
- 1.72 GB
- SHA256:
- e5746c0055745716758dbdd6c52a229f07005fe3783a19ebc9ed841a6cadc08a
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