Instructions to use danbrown/elldreth-vivid-mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danbrown/elldreth-vivid-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-vivid-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-vivid-mix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/danbrown/elldreth-vivid-mix/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://danbrown/elldreth-vivid-mix/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/danbrown/elldreth-vivid-mix/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- cd5f13a92423d30a7baf42645ac6413e793aedf2d2f310ca9b6a11c953e801b9
- Size of remote file:
- 335 MB
- SHA256:
- d9e1734041a3bbc705e1851ccf0125bcd9313e09552c21d8084348a98a0b6b60
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