Instructions to use Muapi/daniel-arsham-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/daniel-arsham-style 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/daniel-arsham-style") 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/daniel-arsham-style: direct link, hf CLI and curl.
- Browser
- Download file 209 kB
-
https://huggingface.co/Muapi/daniel-arsham-style/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/daniel-arsham-style/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/daniel-arsham-style/resolve/main/preview.jpg
209 kB

- Xet hash:
- 8cd52d9b1e0a12d2c616bfbcb9b9b993825b93c1a365853a28927b0b156635bc
- Size of remote file:
- 209 kB
- SHA256:
- 6ad5d7e26363c70657991b56ab8c3b37e0c17e44933cdb8ec4d4b4ceaac4c01e
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