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
Download vae/diffusion_pytorch_model.safetensors from GraydientPlatformAPI/magmix9: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/GraydientPlatformAPI/magmix9/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/magmix9/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/magmix9/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- 3a6f114191e3cfeafe2dedfcc50d41dfa100f5c088c740cb6f6e5e0c05790c6d
- Size of remote file:
- 167 MB
- SHA256:
- 2f3c195fccd402ff2db9c5ed3afa7e98cb0ec88945ed640b878a1471d4b7ac8c
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