Instructions to use woolion/cosmoose-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use woolion/cosmoose-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("woolion/cosmoose-sd", 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 woolion/cosmoose-sd: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/woolion/cosmoose-sd/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://woolion/cosmoose-sd@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/woolion/cosmoose-sd/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 097d804fb7395765777a4ba75f018c729de45798dba859549a73c37f8ef92619
- Size of remote file:
- 492 MB
- SHA256:
- df46035347f3c3ac364e9df340d36e706d554c982af65e3ce81d9911a60a0a55
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