Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use Za88yes/Layla-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Za88yes/Layla-project with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Za88yes/Layla-project") prompt = "photo of woman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from Za88yes/Layla-project: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/Za88yes/Layla-project/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://Za88yes/Layla-project/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Za88yes/Layla-project/resolve/main/checkpoint-500/optimizer.bin
15 MB
- Xet hash:
- e058e843be530324f2216aab3cadb11d36bb8c49e92e48f55c0a471f53df9a99
- Size of remote file:
- 15 MB
- SHA256:
- 82efc10f66f3b45586ec23dca0ce6b16dcdb4bfd4c3f605ecf7e595bd9e4cc91
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