Instructions to use RobbyDalmonts/DDPM_slice_conditioned_simple_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobbyDalmonts/DDPM_slice_conditioned_simple_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("RobbyDalmonts/DDPM_slice_conditioned_simple_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
Download diffusion_pytorch_model.bin from RobbyDalmonts/DDPM_slice_conditioned_simple_2: direct link, hf CLI and curl.
- Browser
- Download file 26.8 MB
-
https://huggingface.co/RobbyDalmonts/DDPM_slice_conditioned_simple_2/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://RobbyDalmonts/DDPM_slice_conditioned_simple_2/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/RobbyDalmonts/DDPM_slice_conditioned_simple_2/resolve/main/diffusion_pytorch_model.bin
26.8 MB
- Xet hash:
- be95eeb87d31861f941f158c8a68210891bd489805db121e4d7595ac77906b79
- Size of remote file:
- 26.8 MB
- SHA256:
- 2f18f4ed44bacb8d910a0ffa8067c033dd57ba667ff95122445b902f24cf331b
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