Instructions to use Muapi/diorama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/diorama 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/diorama") 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/diorama: direct link, hf CLI and curl.
- Browser
- Download file 2.13 MB
-
https://huggingface.co/Muapi/diorama/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/diorama/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/diorama/resolve/main/preview.jpg
2.13 MB

- Xet hash:
- 5561ef2c2b9e983d8541b343556837c522e10d9abcd317c37a1f83d341509332
- Size of remote file:
- 2.13 MB
- SHA256:
- b1a4f04384213bc1de869d2c17010c4981a38d1cf9ce64a03294dcafd2f9845c
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