Instructions to use Muapi/goosebumps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/goosebumps 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/goosebumps") 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/goosebumps: direct link, hf CLI and curl.
- Browser
- Download file 381 kB
-
https://huggingface.co/Muapi/goosebumps/resolve/main/preview.jpg
- Command line
-
hf download hf://Muapi/goosebumps/preview.jpg
-
curl -L -o preview.jpg https://huggingface.co/Muapi/goosebumps/resolve/main/preview.jpg
381 kB

- Xet hash:
- 31784dcb88191529d061663c57e1f01c81ec791e62ff0fe86e39d979bea34b40
- Size of remote file:
- 381 kB
- SHA256:
- 48b92c9ea284df855aee2cda3d305786fa8f4f9ba54bd6e03f4228e384b06025
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