Instructions to use OlafII/makb111-fantasy-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OlafII/makb111-fantasy-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OlafII/makb111-fantasy-2", 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 unet/diffusion_pytorch_model.bin from OlafII/makb111-fantasy-2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/OlafII/makb111-fantasy-2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://OlafII/makb111-fantasy-2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/OlafII/makb111-fantasy-2/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 42d8a043f184315e609facbb5bfef0d0bbc21d632085e30a61cfb7d65648e116
- Size of remote file:
- 3.44 GB
- SHA256:
- 76050b0a6e43288e0be8a6749b01d998fd1165b4976299a0f780eee6e178680d
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