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_3.png from exiomius/MastersSpec2: direct link, hf CLI and curl.
- Browser
- Download file 442 kB
-
https://huggingface.co/exiomius/MastersSpec2/resolve/main/image_3.png
- Command line
-
hf download hf://exiomius/MastersSpec2/image_3.png
-
curl -L -o image_3.png https://huggingface.co/exiomius/MastersSpec2/resolve/main/image_3.png
442 kB

- Xet hash:
- 1ccc59586b79a26590a67c1aa2246904886ac1600094395f3700b30ecbdce56d
- Size of remote file:
- 442 kB
- SHA256:
- e8dba2352fcaca85dedc20c16a207f9516968d6a636ad4d60ec587c236d1ca3b
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