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:
- dffaea662745eaa835fa9da0164289b418914d94d2e8f3c628ebac57b64572e9
- Size of remote file:
- 246 MB
- SHA256:
- 7fe4184ac6c3088650bde26be749ef6bbce028bff3692be33ff29020c7210029
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