Instructions to use philz1337x/526mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use philz1337x/526mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("philz1337x/526mix", 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 philz1337x/526mix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/philz1337x/526mix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://philz1337x/526mix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/philz1337x/526mix/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c5e8b9c06bc7717304fb9286b20ac56aced6bf6533d9ebbbbbf7e5fcd4cb93ea
- Size of remote file:
- 492 MB
- SHA256:
- 695cc39805d58e572e1fb8ab9e4509c838a1c99b14a3c3483f570460959ded1c
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