Instructions to use redstonehero/meichidarkv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use redstonehero/meichidarkv4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("redstonehero/meichidarkv4", 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 redstonehero/meichidarkv4: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/redstonehero/meichidarkv4/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://redstonehero/meichidarkv4/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/redstonehero/meichidarkv4/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- e244751024bef039b6c5827d7b019ecc55fc96e9ee3a0ae9696939630c401598
- Size of remote file:
- 492 MB
- SHA256:
- cee1c06e670c561da2504a31dc02235c9d8cf2c385dbe3f4ca287a3b234548a8
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