Instructions to use ManglerFTW/Mangled_Merge_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManglerFTW/Mangled_Merge_V3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ManglerFTW/Mangled_Merge_V3", 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 ManglerFTW/Mangled_Merge_V3: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/ManglerFTW/Mangled_Merge_V3/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ManglerFTW/Mangled_Merge_V3@refs/pr/1/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ManglerFTW/Mangled_Merge_V3/resolve/refs%2Fpr%2F1/text_encoder/pytorch_model.bin
1.36 GB
- Xet hash:
- 6cab7b2ba58e5738f6ea3be81f70e56c6baef3eafd22d68475d7a4ed77e8b852
- Size of remote file:
- 1.36 GB
- SHA256:
- 3ea9aeae2c822eca6166e427485fd88e27b6952ee6caba618cc2c508c9758cfb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.