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 pytorch_lora_weights.bin from exiomius/MastersSpec2: direct link, hf CLI and curl.
- Browser
- Download file 3.28 MB
-
https://huggingface.co/exiomius/MastersSpec2/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://exiomius/MastersSpec2/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/exiomius/MastersSpec2/resolve/main/pytorch_lora_weights.bin
3.28 MB
- Xet hash:
- c2f63c36dca297af8eb2eb362b629546e8a232474acd8c462ed3a67bb1f1a806
- Size of remote file:
- 3.28 MB
- SHA256:
- 2737f47585bcecea33caf369b889ffc48f64207822c027716c1c455429094083
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