Instructions to use Falah/ddfemale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/ddfemale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Falah/ddfemale", 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/pytorch_model.bin from Falah/ddfemale: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Falah/ddfemale/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Falah/ddfemale@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Falah/ddfemale/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- fbdde4b60cdb35e41cca8f1b5078bef5d4a637aff773cf724d1534b3a74b2024
- Size of remote file:
- 246 MB
- SHA256:
- 1308ae0c1d8c8abe0c5c8583837c19b7be98768aa79cdaedaaa856e0348477da
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