Instructions to use Syedian123/rachel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Syedian123/rachel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Syedian123/rachel", 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 Syedian123/rachel: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Syedian123/rachel/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Syedian123/rachel/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Syedian123/rachel/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- e7d22995b0de734d76cb1d815e86650513190f2420fc3245274b0d759c22efa9
- Size of remote file:
- 246 MB
- SHA256:
- 0b48355ec2055ad8e03fb5c0fefc11ce95a12ade211f779e69f1b54663852f28
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