Instructions to use ManglerFTW/CharHelper_Fine_Tuned_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ManglerFTW/CharHelper_Fine_Tuned_V2 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/CharHelper_Fine_Tuned_V2", 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 ManglerFTW/CharHelper_Fine_Tuned_V2: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/ManglerFTW/CharHelper_Fine_Tuned_V2/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ManglerFTW/CharHelper_Fine_Tuned_V2/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ManglerFTW/CharHelper_Fine_Tuned_V2/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 5fdb5b617e5e56ce0315b85988a5c056d3a4ed7e9223bfab6569e640b05531d8
- Size of remote file:
- 335 MB
- SHA256:
- 54424f5c1360831e857cfbbb7c22ebf1c5009fe81ad34f1f351dafd3cade97d2
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