Instructions to use exiomius/MastersSpec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use exiomius/MastersSpec2 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/MastersSpec2") 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_0.png from exiomius/MastersSpec2: direct link, hf CLI and curl.
- Browser
- Download file 441 kB
-
https://huggingface.co/exiomius/MastersSpec2/resolve/main/image_0.png
- Command line
-
hf download hf://exiomius/MastersSpec2/image_0.png
-
curl -L -o image_0.png https://huggingface.co/exiomius/MastersSpec2/resolve/main/image_0.png
441 kB

- Xet hash:
- 8801b473e917ae39120c19d278ffb389e62d0cb877e1cefd5be6d12a9a4548ad
- Size of remote file:
- 441 kB
- SHA256:
- 31ca580a0e7f836f9a5fbd93bf324a7149f6d9b173f1b896a894e39a26723321
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