Instructions to use Pixel-Dust/CC0_rebild_attempt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Pixel-Dust/CC0_rebild_attempt with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Pixel-Dust/CC0_rebild_attempt", 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 vae/diffusion_pytorch_model.bin from Pixel-Dust/CC0_rebild_attempt: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Pixel-Dust/CC0_rebild_attempt/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Pixel-Dust/CC0_rebild_attempt/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Pixel-Dust/CC0_rebild_attempt/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- 63e917283c335b00bbf344e2aed881969d809d810b070e79c6704294c7434518
- Size of remote file:
- 167 MB
- SHA256:
- 7108c73d58c328d33631f53baf4dc1077c9f6fab7fc522af82595e2364c2c3ee
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