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", torch_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:
- 4ccc41da8c2b18611028ea049a6e1238a4c60b9f07e142d8b0f26f49c62b5ce5
- Size of remote file:
- 1.72 GB
- SHA256:
- a6384b426f492fe0e9924566d0c2238fd8eaa67979af52c84ac7cb083fea844c
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