Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/VoidnoiseCore_R0829 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/VoidnoiseCore_R0829 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/VoidnoiseCore_R0829", 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.fp16.bin from digiplay/VoidnoiseCore_R0829: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/digiplay/VoidnoiseCore_R0829/resolve/main/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://digiplay/VoidnoiseCore_R0829/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/digiplay/VoidnoiseCore_R0829/resolve/main/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 1a9f5ce9dd86f7482573fe88e4ad02a49022b59548056a7d0843d032eeaf46b1
- Size of remote file:
- 167 MB
- SHA256:
- bd05d33f0df4179c230818ccfda9d121794801f1cd023a90bbb199a4c6332a49
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