Instructions to use Jacklu0831/procreate-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jacklu0831/procreate-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Jacklu0831/procreate-diffusion", 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 rococo/diffusion_pytorch_model.safetensors from Jacklu0831/procreate-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/Jacklu0831/procreate-diffusion/resolve/main/rococo/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Jacklu0831/procreate-diffusion/rococo/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Jacklu0831/procreate-diffusion/resolve/main/rococo/diffusion_pytorch_model.safetensors
3.44 GB
- Xet hash:
- e3ce9592c2e8229bb1e50f81e059910df784df44cd6f179744c89f09977cd63a
- Size of remote file:
- 3.44 GB
- SHA256:
- ef813da8ccb72a544f3cb11339cf0966494b73025098aaf023db942e0068867c
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