Instructions to use EventDiffusion/class_1000_50 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EventDiffusion/class_1000_50 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EventDiffusion/class_1000_50", 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
Download diffusion_pytorch_model.safetensors from EventDiffusion/class_1000_50: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/EventDiffusion/class_1000_50/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://EventDiffusion/class_1000_50/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/EventDiffusion/class_1000_50/resolve/main/diffusion_pytorch_model.safetensors
3.44 GB
- Xet hash:
- 6583d986eea16faffe35b5fff456d100f6d85dfa9cbcaeec9a014b8b7661176f
- Size of remote file:
- 3.44 GB
- SHA256:
- f1bdd8f6b9746d5c7197d4b29f3b5213f5690153d89bca64f153e7fff03fd1ef
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