Instructions to use UCLA-AGI/SPIN-Diffusion-iter3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UCLA-AGI/SPIN-Diffusion-iter3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UCLA-AGI/SPIN-Diffusion-iter3", 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
- Draw Things
- DiffusionBee
SDXL version possible?
#3
by otterpupp - opened
Hello, thank you for this work ! I have extracted LoRAs from your model, and I like the result.
https://huggingface.co/otterpupp/spin-diffusion-v3-sd15/tree/main/loras
Is it possible for you to train something similar on the SDXL Unet as well?