Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General Purpose
Aesthetic
Wild
Paintings
Style Art
Landscapes
Wick_J4
stablydiffused
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Magnum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Magnum with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Magnum", dtype=torch.bfloat16, device_map="cuda") 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 tokenizer/merges.txt from Yntec/Magnum: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
-
https://huggingface.co/Yntec/Magnum/resolve/main/tokenizer/merges.txt
- Command line
-
hf download hf://Yntec/Magnum/tokenizer/merges.txt
-
curl -L -o merges.txt https://huggingface.co/Yntec/Magnum/resolve/main/tokenizer/merges.txt
525 kB
File too large to display, you can check the raw version instead.