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
Illustrious2.0-lora-Vpred-conversion-experiments / checkpoints /Illustrious-v2-Out2-5noob_00001_.safetensors
- Xet hash:
- 4604a829b7c1fc8b85857c87bc1a87185a77e5dea2db5715e78fc7e5b97cb2a7
- Size of remote file:
- 6.94 GB
- SHA256:
- 7c550db8ec04cdd666cac3cc136aedb2b47bbb4b561b79802ea5bb6232a25ebf
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