Instructions to use effdeeargh/facebase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use effdeeargh/facebase with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("effdeeargh/facebase", 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
- Draw Things
- DiffusionBee
Commit ·
e2f7587
1
Parent(s): 34de986
Upload facebase.ckpt
Browse filesinitial upload of model
- facebase.ckpt +3 -0
facebase.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4d7340ed9a2ebc8ae16fb7a42a36f79a7a9ec93fbf225e2d08660979090d66b
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size 6476968585
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