Instructions to use DrawingProcess/dreambooth-sticker-monster-stkmonster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DrawingProcess/dreambooth-sticker-monster-stkmonster with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DrawingProcess/dreambooth-sticker-monster-stkmonster", 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
Download text_encoder/pytorch_model.bin from DrawingProcess/dreambooth-sticker-monster-stkmonster: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/DrawingProcess/dreambooth-sticker-monster-stkmonster/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://DrawingProcess/dreambooth-sticker-monster-stkmonster/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DrawingProcess/dreambooth-sticker-monster-stkmonster/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 775c7425f6ec96291bfcb14d4eb92ae2ed33e5ff57ff85015e9b602120e36c20
- Size of remote file:
- 246 MB
- SHA256:
- 4de540e35459edc0cb647276bda469ea36c9b0ec4b2e1608bef2e443668340df
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