Instructions to use stillerman/trdne-smol-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stillerman/trdne-smol-simple with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("stillerman/trdne-smol-simple") 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:
- 575a321d10e4544cb859538683fa723997d8a1780eeee7e445f90de70f355714
- Size of remote file:
- 6.59 MB
- SHA256:
- 27346c8785cad511e1370dbbed1dc55baa6f6767dab01d1edf267660ad4cce76
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