Instructions to use EnD-Diffusers/Osenayan_Mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Osenayan_Mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Osenayan_Mix", torch_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:
- 863f1f9150b8318cfcbae8eccd594e794b554394d8219b2425d604459e4d06c2
- Size of remote file:
- 3.44 GB
- SHA256:
- 0cc17b01d75d03f9c00197ed2ba1981ec03c73373868e5ef6acd6e7178ddc3d5
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