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", 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.bin from EnD-Diffusers/Osenayan_Mix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/EnD-Diffusers/Osenayan_Mix/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://EnD-Diffusers/Osenayan_Mix/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/EnD-Diffusers/Osenayan_Mix/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 2d6792659ee87e04bf32e129b4243384f2e8a995ccfc1ef039b66cb825b1a7f2
- Size of remote file:
- 335 MB
- SHA256:
- d93b53980ca0bee4864d72d28066f417e8f48de81b56c0f4f487fd3fed5dee74
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