Instructions to use Echo-Team/tiny-echo-wm-base-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Echo-Team/tiny-echo-wm-base-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Echo-Team/tiny-echo-wm-base-diffusers", 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 transformer/diffusion_pytorch_model.safetensors from Echo-Team/tiny-echo-wm-base-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 183 kB
-
https://huggingface.co/Echo-Team/tiny-echo-wm-base-diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Echo-Team/tiny-echo-wm-base-diffusers/transformer/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Echo-Team/tiny-echo-wm-base-diffusers/resolve/main/transformer/diffusion_pytorch_model.safetensors
183 kB
- Xet hash:
- 0fbf847bd4dbd56e7a87fd30e25c50f0ae73ce00d982f705182d7d9e8b05ca15
- Size of remote file:
- 183 kB
- SHA256:
- 29ba3051f4bd3f28d856a4176456fe1a0756400f7ddc092369195376d23b5484
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