Instructions to use stablediffusionapi/manmaru-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/manmaru-mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/manmaru-mix", 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 stablediffusionapi/manmaru-mix: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/manmaru-mix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/manmaru-mix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/manmaru-mix/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- d283dbf25f824d91d9dabd7e96b573f87e01f853b12ed1d8fbdfa5e938500e94
- Size of remote file:
- 246 MB
- SHA256:
- 74d5459343a1dd8ea5d9f0e8dbb7cbd3807b33e8e438f6f493391aad058853c7
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