Instructions to use proxima/halloween_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use proxima/halloween_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("proxima/halloween_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 text_encoder/pytorch_model.bin from proxima/halloween_diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/proxima/halloween_diffusion/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://proxima/halloween_diffusion/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/proxima/halloween_diffusion/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- b77e59fa6ca7927cec54e4743085446dbf327a789af181bea905e6a709fc74cb
- Size of remote file:
- 492 MB
- SHA256:
- 31403c0445cd7c513d69f852a3fc4319166e72fdfbf910cba322bec1a3077c47
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