Instructions to use nubby/Yume-Grimgar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nubby/Yume-Grimgar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nubby/Yume-Grimgar", 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
Upload 2 files
Browse filesAdded 2 versions trained from trinart_characters_it4_v1 base
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- m_yumegirl_trinart_5000.ckpt +3 -0
- m_yumegirl_trinart_6000.ckpt +3 -0
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