Instructions to use EnD-Diffusers/Dec2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Dec2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Dec2023", 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 DuskArtBackMix.fp16.safetensors from EnD-Diffusers/Dec2023: direct link, hf CLI and curl.
- Browser
- Download file 6.94 GB
-
https://huggingface.co/EnD-Diffusers/Dec2023/resolve/refs%2Fpr%2F30/DuskArtBackMix.fp16.safetensors
- Command line
-
hf download hf://EnD-Diffusers/Dec2023@refs/pr/30/DuskArtBackMix.fp16.safetensors
-
curl -L -o DuskArtBackMix.fp16.safetensors https://huggingface.co/EnD-Diffusers/Dec2023/resolve/refs%2Fpr%2F30/DuskArtBackMix.fp16.safetensors
6.94 GB
- Xet hash:
- 79f25fd5a56c1ffbe670ca052f5278c83bfc2706b743631b5123d10cdf3a7ca5
- Size of remote file:
- 6.94 GB
- SHA256:
- 93ba4b315d2e67f864e7e34a34f4719cc3138dc3371e4072a7f316142fdc3272
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.