Instructions to use GraydientPlatformAPI/bigblumix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bigblumix 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/bigblumix", 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/bigblumix: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/GraydientPlatformAPI/bigblumix/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/bigblumix/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/bigblumix/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- 52828a19174266afda4910266574c53e2afe512d5c1447eef136fc531a7b2f6d
- Size of remote file:
- 1.39 GB
- SHA256:
- cd1eb0434a8d43a8ea732344cee2fd5a0ae1deccd9cfc31dae4f8fac2df47546
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