Instructions to use MyneFactory/MF-EminenceInShadow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MyneFactory/MF-EminenceInShadow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MyneFactory/MF-EminenceInShadow", 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:
- d8d98a9c436be74af407ac72a6df69054fb74e9fbd553e174b721cbc305f52d5
- Size of remote file:
- 492 MB
- SHA256:
- ae25165fe8b886fa7d5f41e6294f88783a32f055896801f0c242b2f3e4647329
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