Instructions to use GraydientPlatformAPI/etherreal4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/etherreal4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/etherreal4", 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 vae/diffusion_pytorch_model.safetensors from GraydientPlatformAPI/etherreal4: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/GraydientPlatformAPI/etherreal4/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/etherreal4/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/etherreal4/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- a7fc600e462bc16c64e14676d5d56c17c1010f35a9dceadb3a603d7314eb12b8
- Size of remote file:
- 167 MB
- SHA256:
- 9d8fb415ab4f9782232e7bb82e618e2c0cef0be3593c77a35f5733d8fdd3530f
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