Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/GhostMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/GhostMix 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/GhostMix", 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 unet/diffusion_pytorch_model.bin from digiplay/GhostMix: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/digiplay/GhostMix/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://digiplay/GhostMix/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/digiplay/GhostMix/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 7f1addae0ddcd55545f48dbc3c2af2a4d4ad72350cf99a10b5db8b61320bf2ce
- Size of remote file:
- 3.44 GB
- SHA256:
- 1d2b781e441b13288af58cf57c2df9909472e0c86bd5a2b60bd10170420044d6
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