Instructions to use 8glabs/trained_models_v0_with_wrong_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8glabs/trained_models_v0_with_wrong_style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8glabs/trained_models_v0_with_wrong_style", 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:
- 473cfdbbc1b6d20b313ecc9a97e2d1f318e4bb8119538ed29704c3c305937900
- Size of remote file:
- 3.93 kB
- SHA256:
- 9360fa5bfb56ecc380ee3604740ae7f35f27c29bf1e2dac142dd5c92f782a11c
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