Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use kopyl/miniSDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kopyl/miniSDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kopyl/miniSDXL", 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
Motivation: SDXL is a great model, especially for fine-tuning, but fine-tuning on SDXL's standard size is expensive, so i made a model which can generate images of 256x256px size. It allows faster and cheaper training experimentation and can improve a creative process through much faster inference time.
Huuuuge thanks to Microsoft for providing GPU for training โค๏ธ
Trained on LAION Improved Aesthetics 6plus.
Want to collaborate on open source together with me? Send me a message: kopyloleh@gmail.com / telegram @kopyl
Check my other cool projects:
- Logo generator
- Icon generator
- I'm a contributor to A1111, PixArt-alpha, Onediff
- More
Check some cool images i was able to generate with this model.

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Model tree for kopyl/miniSDXL
Base model
stabilityai/stable-diffusion-xl-base-1.0