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 Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from dotta/dottamemes: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/dotta/dottamemes/resolve/refs%2Fpr%2F3/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://dotta/dottamemes@refs/pr/3/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dotta/dottamemes/resolve/refs%2Fpr%2F3/checkpoint-2000/optimizer.bin
6.59 MB
- Xet hash:
- a2bbdbd64849df54c3367ac05d0436b5ba1927e30e9afefb946ae7124fc00f4b
- Size of remote file:
- 6.59 MB
- SHA256:
- 52a46d81805b0343fbe78a21693bedd131b36bd28f47e09e03305b6a7d2602c1
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