Instructions to use tolgadev/sdxl_tk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tolgadev/sdxl_tk with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tolgadev/sdxl_tk", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a tktktk" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("tolgadev/sdxl_tk", dtype=torch.bfloat16, device_map="cuda")
prompt = "photo of a tktktk"
image = pipe(prompt).images[0]SDXL-Finetuned Model by HuggingFace AutoTrain
This is the text-to-image model based on SDXL model trained with my several selfie pics.
I used this colab notebook for fine-tuning.
Stable Diffusion XL Base model: https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
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Model tree for tolgadev/sdxl_tk
Base model
stabilityai/stable-diffusion-xl-base-1.0