Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use recoilme/ColorfulSSD-1B_v09 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use recoilme/ColorfulSSD-1B_v09 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("recoilme/ColorfulSSD-1B_v09", 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
Text-to-image finetuning - recoilme/ColorfulSSD-1B_v09
This pipeline was finetuned from /workspace/ColorfulSSD-1B_v08 on the recoilme/colorful_s_1024 dataset. Below are some example images generated with the finetuned pipeline using the following prompt: beautiful woman and her elegant cat, hyper realistic, ambient lighting:
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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