Instructions to use lxj616/make-a-stable-diffusion-video-timelapse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lxj616/make-a-stable-diffusion-video-timelapse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lxj616/make-a-stable-diffusion-video-timelapse", 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 lxj616/make-a-stable-diffusion-video-timelapse: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/lxj616/make-a-stable-diffusion-video-timelapse/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://lxj616/make-a-stable-diffusion-video-timelapse/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lxj616/make-a-stable-diffusion-video-timelapse/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- c06bf7f368edb69eb9008da4a596e1508c2ab8fdf96130ff4eb6238adc9e3c49
- Size of remote file:
- 246 MB
- SHA256:
- 88bd85efb0f84e70521633f578715afb2873db4f2615fdfb1f66e99934715865
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