Instructions to use exiomius/MastersSpec3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use exiomius/MastersSpec3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("riffusion/riffusion-model-v1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("exiomius/MastersSpec3") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from exiomius/MastersSpec3: direct link, hf CLI and curl.
- Browser
- Download file 491 kB
-
https://huggingface.co/exiomius/MastersSpec3/resolve/main/image_2.png
- Command line
-
hf download hf://exiomius/MastersSpec3/image_2.png
-
curl -L -o image_2.png https://huggingface.co/exiomius/MastersSpec3/resolve/main/image_2.png
491 kB

- Xet hash:
- dbb27497ad5d142f4e7ef5658e3961a00bdd82dd7848c51d69853b1c36f290a5
- Size of remote file:
- 491 kB
- SHA256:
- b61ea7f9316f7c59391cef5a45a24706752b514c1125fcc093dfc1fffcd2a19c
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