Instructions to use dotta/dottamemes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dotta/dottamemes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("westernCartoonTypeA_v10.safetensors", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dotta/dottamemes") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 5810c97587f4205a5d60251ec1de96389d17349aa0d33c97d9fc0854feb1df9a
- Size of remote file:
- 3.29 MB
- SHA256:
- 26ae5cd17eef47edf776e1c8912d87812cd25e7d0d595b271df5fdf31a69f39c
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