Instructions to use AIARTCHAN/expmixLine_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIARTCHAN/expmixLine_v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIARTCHAN/expmixLine_v2", torch_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:
- 1102b97a07b9103cbb2663485e4a33dca28c3e6dd54e02d9b621284b348923ce
- Size of remote file:
- 335 MB
- SHA256:
- 7e243f9bbd29214a2b1cd679a31e5ee3acb28f10ae00dc5baf79b1609c08b56e
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