Instructions to use azianmike3/mchlsbl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use azianmike3/mchlsbl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("azianmike3/mchlsbl", 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 vae/diffusion_pytorch_model.bin from azianmike3/mchlsbl: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/azianmike3/mchlsbl/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://azianmike3/mchlsbl/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/azianmike3/mchlsbl/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- b242d22b255879c97641b8f6f8840e482947706a3a46b669162690e8581e2f01
- Size of remote file:
- 335 MB
- SHA256:
- aeb10752afd1c017835bdbc1e7751d29eace823639d47a03d61d5e26fd16d380
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