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", 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:
- dcf1b0f3658cc5d2e8719f2cb14ae40372f8a118bbec57931dd52b6cce5fcdaf
- Size of remote file:
- 492 MB
- SHA256:
- 8e0c585f423798ed572f1ea5905ed65f2535d049d8320b9130157a5b0253a78f
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