Instructions to use stephanebhiri/lora-trained-xl-colab-slm3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stephanebhiri/lora-trained-xl-colab-slm3 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("stephanebhiri/lora-trained-xl-colab-slm3") prompt = "sks woman singer" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from stephanebhiri/lora-trained-xl-colab-slm3: direct link, hf CLI and curl.
- Browser
- Download file 632 Bytes
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https://huggingface.co/stephanebhiri/lora-trained-xl-colab-slm3/resolve/main/README.md
- Command line
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hf download hf://stephanebhiri/lora-trained-xl-colab-slm3/README.md
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curl -L -o README.md https://huggingface.co/stephanebhiri/lora-trained-xl-colab-slm3/resolve/main/README.md
632 Bytes
metadata
license: openrail++
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: sks woman singer
tags:
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
inference: true
LoRA DreamBooth - stephanebhiri/lora-trained-xl-colab-slm3
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on sks woman singer using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.