Instructions to use Muhammadreza/mann-e-artistic-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muhammadreza/mann-e-artistic-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("Muhammadreza/mann-e-artistic-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 Muhammadreza/mann-e-artistic-2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Muhammadreza/mann-e-artistic-2/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Muhammadreza/mann-e-artistic-2/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Muhammadreza/mann-e-artistic-2/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 182836ccc708842bb93a7ff5aac7776d23c4f50fe511af3c5f3dd34235c9bfc6
- Size of remote file:
- 3.44 GB
- SHA256:
- 5c1e0d649a37683346f9c41f05fc88bb84c0817fa4602810fecead13e4400290
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