Instructions to use stablediffusionapi/limitlessvision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/limitlessvision 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/limitlessvision", 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/limitlessvision: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/stablediffusionapi/limitlessvision/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/limitlessvision/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/stablediffusionapi/limitlessvision/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- f87d1ec8c6fa8fccbed3be4c0b58ccc22db10e3591a20891580f9bd3e3437c16
- Size of remote file:
- 246 MB
- SHA256:
- 0093ae577aa2f390b435f928edaeb1c0273fd47cf9a5ca80f22ed2840f299a38
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