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:
- d0e5e848679eef8f48ce89de06b00a585abeebc6c416f3461a5f7dba25a2d989
- Size of remote file:
- 6.59 MB
- SHA256:
- 48db9e0cb7aab6330a67efc6522047b98b7a791846a79bb71d80a29c397c3840
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