Instructions to use danbrown/elldreth-retro-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/elldreth-retro-mix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danbrown/elldreth-retro-mix", 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 danbrown/elldreth-retro-mix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/danbrown/elldreth-retro-mix/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://danbrown/elldreth-retro-mix/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/danbrown/elldreth-retro-mix/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- cc7c15d9f36ef5e7fe7b46e7e68ca026304f5a26950d8c3c55246f12aeb1c3bf
- Size of remote file:
- 335 MB
- SHA256:
- d753dc066fcbed4dac7f54bd5c36a8e3a6a2c6baae75903a7c9a564091ab34af
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