Instructions to use Norwaere/Illustrious2.0-lora-Vpred-conversion-experiments with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norwaere/Illustrious2.0-lora-Vpred-conversion-experiments with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Norwaere/Illustrious2.0-lora-Vpred-conversion-experiments") 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
Ctrl+K
- Illustrious-v2-256res-final-laplace-mu-5-b1-test-fp32
- Illustrious-v2-256res-final-laplace-mu-5-b5-test-fp32
- Illustrious-v2-256res-final-laplace-mu5-b1-test-fp32
- Illustrious-v2-256res-final-laplace-mu5-b3-test-fp32
- Illustrious-v2-256res-final-laplace-test-mu8-b10-noffs001-fp32-fp64loss
- Illustrious-v2-256res-final-no-laplace-test-noffs001-fp32
- Illustrious-v2-256res-quick-laplace-test-mu2_5-b1_3
- Illustrious-v2-512res-b256-lr3e5-altereddebiased-edm2-laplace-locondora-ztsnr-vpredconv
- Illustrious-v2-512res-b312-lr3e5-angeldebiased-edm2-locondora-ztsnr-vpredconv
- Illustrious-v2-Out2-5noob-512res-b256-lr3e5-msnr10-locondora-ztsnr-vpredconv
- Illustrious-v2-final-laplace-mu-5-b20-noffs001-test-fp32
- checkpoints
- illustriousXL20-vpred-conv-attempt-1
- 6.18 kB
- 740 Bytes