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 CannyValleyv1.safetensors from EnD-Diffusers/Dec2023: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/EnD-Diffusers/Dec2023/resolve/main/CannyValleyv1.safetensors
- Command line
-
hf download hf://EnD-Diffusers/Dec2023/CannyValleyv1.safetensors
-
curl -L -o CannyValleyv1.safetensors https://huggingface.co/EnD-Diffusers/Dec2023/resolve/main/CannyValleyv1.safetensors
2.13 GB
- Xet hash:
- fd300f417d6dd3ae0fce4863d6537c7d1e6f05e0a337f45c408daf45ed8a3a02
- Size of remote file:
- 2.13 GB
- SHA256:
- 0137845d37980b95f28cf6133a132b075f575c86a9d1759426803d11c65245e6
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