Instructions to use Muapi/exogenous with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/exogenous 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/exogenous") 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 exogenous.safetensors from Muapi/exogenous: direct link, hf CLI and curl.
- Browser
- Download file 211 MB
-
https://huggingface.co/Muapi/exogenous/resolve/main/exogenous.safetensors
- Command line
-
hf download hf://Muapi/exogenous/exogenous.safetensors
-
curl -L -o exogenous.safetensors https://huggingface.co/Muapi/exogenous/resolve/main/exogenous.safetensors
211 MB
- Xet hash:
- 5e66d018f57242e45af7bb92c53b8fa06f44a185a2ce320761c339654e0a0054
- Size of remote file:
- 211 MB
- SHA256:
- 5bd255cbe1457f396a40b2bee72bf90d4eb6ef3491f0b020a79110bd73cde824
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