Instructions to use RobbyDalmonts/DDPM_slice_conditioned_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobbyDalmonts/DDPM_slice_conditioned_simple 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", 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: direct link, hf CLI and curl.
- Browser
- Download file 26.8 MB
-
https://huggingface.co/RobbyDalmonts/DDPM_slice_conditioned_simple/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://RobbyDalmonts/DDPM_slice_conditioned_simple/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/RobbyDalmonts/DDPM_slice_conditioned_simple/resolve/main/diffusion_pytorch_model.bin
26.8 MB
- Xet hash:
- 959f5f827af87c37d89a1d7f6c4eb4fc0a1f31f921034f2d5f2f306f59bc8f8b
- Size of remote file:
- 26.8 MB
- SHA256:
- 3339a4c07619fec8ab5e5db54eb3e39d7c28fa996ec50f996b58692336f5a085
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