Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use Shamima/abeer-lora-trained-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shamima/abeer-lora-trained-sdxl 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("Shamima/abeer-lora-trained-sdxl") prompt = "a portrait of lmlm man" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from Shamima/abeer-lora-trained-sdxl: direct link, hf CLI and curl.
- Browser
- Download file 15 MB
-
https://huggingface.co/Shamima/abeer-lora-trained-sdxl/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://Shamima/abeer-lora-trained-sdxl/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Shamima/abeer-lora-trained-sdxl/resolve/main/checkpoint-1000/optimizer.bin
15 MB
- Xet hash:
- 76703ccaee269c5bd44177d0bbf5d7c00d78d250a8737cf5a8e71c7083c33443
- Size of remote file:
- 15 MB
- SHA256:
- 3e205ec2f9eaed4392bbf536fde90d1776d3339f56a609cd089f75b3ea87e4fc
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