Instructions to use Muapi/former-splendor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/former-splendor 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/former-splendor") 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/former-splendor: direct link, hf CLI and curl.
- Browser
- Download file 1.42 MB
-
https://huggingface.co/Muapi/former-splendor/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/former-splendor/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/former-splendor/resolve/main/preview.jpg
1.42 MB

- Xet hash:
- a90fe20f41c1f441d795e1c6a675641bbd250b1aa9bc126040d536f79e4cf7bd
- Size of remote file:
- 1.42 MB
- SHA256:
- 9101abdcb4cd25d5aeef3971062dd367e439295a180fdd170028ce10c415a051
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