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_3.png from exiomius/MastersSpec3: direct link, hf CLI and curl.
- Browser
- Download file 503 kB
-
https://huggingface.co/exiomius/MastersSpec3/resolve/main/image_3.png
- Command line
-
hf download hf://exiomius/MastersSpec3/image_3.png
-
curl -L -o image_3.png https://huggingface.co/exiomius/MastersSpec3/resolve/main/image_3.png
503 kB

- Xet hash:
- 26d29d33de9f12eba2e2a760dc5b8a3a04ec653f5303428ee7cd43dd6da89634
- Size of remote file:
- 503 kB
- SHA256:
- 3e45437df71b4538554dc3884696e83b543945ffa80b66ba6dadfa6ef387cd94
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