Instructions to use MurakawaTakuya/M3DDM-Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MurakawaTakuya/M3DDM-Plus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MurakawaTakuya/M3DDM-Plus", 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
Download diffusion_pytorch_model.bin from MurakawaTakuya/M3DDM-Plus: direct link, hf CLI and curl.
- Browser
- Download file 5.2 GB
-
https://huggingface.co/MurakawaTakuya/M3DDM-Plus/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://MurakawaTakuya/M3DDM-Plus/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/MurakawaTakuya/M3DDM-Plus/resolve/main/diffusion_pytorch_model.bin
5.2 GB
- Xet hash:
- fde929f270645d377d12e49f16156a190355ff96af5e1589137903996e108019
- Size of remote file:
- 5.2 GB
- SHA256:
- 50da38ea23217eb69c9f89c4846481efe557ad591bfe3f30460940590eb77c40
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