Instructions to use Falah/fashion-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/fashion-model 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/fashion-model", 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/fashion-model: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Falah/fashion-model/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Falah/fashion-model/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Falah/fashion-model/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 15c277d5cc9a331ed0da2961466a50894fc153b86fbbe9a71c57f02c5d0c129d
- Size of remote file:
- 492 MB
- SHA256:
- 888f65d348230f9b6267ab8d9b9ebe94da8810e06348790ce14e97cad8b08c81
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