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_.swarm.json
| { | |
| "modelspec.name": "Illustrious-v2-Out2-5noob_00001_.safetensors", | |
| "modelspec.title": "Illustrious-v2-Out2-5noob 1", | |
| "modelspec.author": "", | |
| "modelspec.description": "", | |
| "modelspec.preview_image": "imgs/model_placeholder.jpg", | |
| "modelspec.loaded": false, | |
| "modelspec.architecture": "stable-diffusion-xl-v1-base", | |
| "modelspec.class": "Stable Diffusion XL 1.0-Base", | |
| "modelspec.compat_class": "stable-diffusion-xl-v1", | |
| "modelspec.resolution": "1024x1024", | |
| "modelspec.standard_width": 1024, | |
| "modelspec.standard_height": 1024, | |
| "modelspec.license": "", | |
| "modelspec.date": "", | |
| "modelspec.prediction_type": "v-zsnr", | |
| "modelspec.usage_hint": "", | |
| "modelspec.trigger_phrase": "", | |
| "modelspec.merged_from": null, | |
| "modelspec.tags": null, | |
| "modelspec.is_supported_model_format": true, | |
| "modelspec.is_negative_embedding": false, | |
| "modelspec.local": true, | |
| "modelspec.time_created": 1751962897574, | |
| "modelspec.time_modified": 1751962919922, | |
| "modelspec.hash": "", | |
| "modelspec.hash_sha256": "", | |
| "modelspec.special_format": "" | |
| } |