Instructions to use GraydientPlatformAPI/raemumixv9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemumixv9 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/raemumixv9", 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:
- cc6adfb256a269ce7b0fb68a9e1085bc27da347c3d53294ef349b2083f4a3176
- Size of remote file:
- 246 MB
- SHA256:
- c7f3c3a96ddb8a9bbe4e796d95cd9717d9e5220acacbb390f98e7cd187de79a3
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