Instructions to use hansQAQ/icip_source_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hansQAQ/icip_source_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hansQAQ/icip_source_2", 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
- Xet hash:
- 2cbe2585ebc742719ae6e8cc6fa0ed544ca4dbfc9f8c94ca58396e96189ff864
- Size of remote file:
- 47.7 MB
- SHA256:
- 00e845f815f8e75a4358db50ef24eb3ec27a3bfc54deda49a9fb5dd46cd3d1b2
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