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_0.png from exiomius/MastersSpec3: direct link, hf CLI and curl.
- Browser
- Download file 842 Bytes
-
https://huggingface.co/exiomius/MastersSpec3/resolve/main/image_0.png
- Command line
-
hf download hf://exiomius/MastersSpec3/image_0.png
-
curl -L -o image_0.png https://huggingface.co/exiomius/MastersSpec3/resolve/main/image_0.png
842 Bytes

- Xet hash:
- a57657a441dd8f851848859128f3e90de85b69ca83ec3a7f5c12e6605288d893
- Size of remote file:
- 842 Bytes
- SHA256:
- e9c4a470ad900801f7de4f9402eb27af8a1cc00eac80d618ef16bac39fb27d33
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