Instructions to use NiteStormz/ExpMixLineV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NiteStormz/ExpMixLineV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NiteStormz/ExpMixLineV2", 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 NiteStormz/ExpMixLineV2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/NiteStormz/ExpMixLineV2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://NiteStormz/ExpMixLineV2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/NiteStormz/ExpMixLineV2/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 4ad22fce9861bbda37ca7e8a7eeb89cec74d9d871d8d084e586684aa8d646f57
- Size of remote file:
- 335 MB
- SHA256:
- d4421aadd31c9f4bbdb72d47a63fcc9d4ecf0d830adb95e82dd9c88f3fca7e53
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