Instructions to use Muapi/giger-2_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/giger-2_0 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/giger-2_0") 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/giger-2_0: direct link, hf CLI and curl.
- Browser
- Download file 155 kB
-
https://huggingface.co/Muapi/giger-2_0/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/giger-2_0/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/giger-2_0/resolve/main/preview.jpg
155 kB

- Xet hash:
- 286e74eccae4b35ba7a26281c447dfd7ce878aea4a95f5e14111f096c2d32aa8
- Size of remote file:
- 155 kB
- SHA256:
- f739a131c77d8633c76db800e1659dcffebb2df7d0f0d46f29558d8c88c099bc
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