Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/pmaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/pmaster with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/pmaster", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download tokenizer_2/merges.txt from stablediffusionapi/pmaster: direct link, hf CLI and curl.
- Browser
- Download file 525 kB
-
https://huggingface.co/stablediffusionapi/pmaster/resolve/main/tokenizer_2/merges.txt
- Command line
-
hf download hf://stablediffusionapi/pmaster/tokenizer_2/merges.txt
-
curl -L -o merges.txt https://huggingface.co/stablediffusionapi/pmaster/resolve/main/tokenizer_2/merges.txt
525 kB
File too large to display, you can check the raw version instead.