Instructions to use GraydientPlatformAPI/raemu4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/raemu4 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/raemu4", 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/model.safetensors from GraydientPlatformAPI/raemu4: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/raemu4/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/raemu4/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/raemu4/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- f0d2b4b575c229df841b6bfe0fe7ce6e155284f50194ca71f6a33f15104db8c6
- Size of remote file:
- 246 MB
- SHA256:
- ba20903bea79a47c8435df281ee6c98e7e80b50eef3c5493f273d7aa9b95da42
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