Instructions to use misri/hassakuXLIllustrious_v30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/hassakuXLIllustrious_v30 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/hassakuXLIllustrious_v30", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9f85b2a740ff2f21a6d6be2c092080e16f4840f1265e8e03e0d417ad5af985ae
- Size of remote file:
- 1.39 GB
- SHA256:
- 6340be927c24d783df8aeb5d608194e788fbda7a8fc1076cf51bc90aa186150f
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