Instructions to use selcukkubur/cocomelon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use selcukkubur/cocomelon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("selcukkubur/cocomelon", 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 selcukkubur/cocomelon: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/selcukkubur/cocomelon/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://selcukkubur/cocomelon/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/selcukkubur/cocomelon/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- 25a1fd765d1e08affa351811917bbd6fc5c1454a67d4fd9cc99ab68f573a50f2
- Size of remote file:
- 681 MB
- SHA256:
- c4432e933004d1f75fbfe40de22a4bead1fe19107b5360c6902a7e9a013f1fed
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