Instructions to use GraydientPlatformAPI/bimboengine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bimboengine 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/bimboengine", 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/bimboengine: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/bimboengine/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/bimboengine/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/bimboengine/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- 3aba02c05ce8d5be756a85d11f37d99db638d02464f10a03489ef7bde920cb6b
- Size of remote file:
- 246 MB
- SHA256:
- 28529101d7e05a85155296b01f050f552cfc374b0e18c9b308a3611b9bcfcee9
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