Instructions to use GraydientPlatformAPI/holymix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/holymix 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/holymix", 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_2/model.safetensors from GraydientPlatformAPI/holymix: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/GraydientPlatformAPI/holymix/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/holymix/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/holymix/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- 1d6cd2489cd5a22d18a8a7454673cde2aedb094a0cfae2dd482ce790ed41dac5
- Size of remote file:
- 1.39 GB
- SHA256:
- e3618c203268a82e84d31325b59566da94185db35654b2e28f92475ab4a4b892
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