Instructions to use Muapi/everyday-3d-render with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/everyday-3d-render with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/everyday-3d-render") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download preview.jpg from Muapi/everyday-3d-render: direct link, hf CLI and curl.
- Browser
- Download file 312 kB
-
https://huggingface.co/Muapi/everyday-3d-render/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/everyday-3d-render/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/everyday-3d-render/resolve/main/preview.jpg
312 kB

- Xet hash:
- 1573574004bf03331e31896a2cdf60669e3da0f43b0d71b302e5f10da4a40199
- Size of remote file:
- 312 kB
- SHA256:
- 92fb21df8ac722eb904ec3294fc6b24ae0162e98ab83efe9626f18913075d6d4
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