Text-to-Image
Diffusers
English
StableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Instructions to use abhiimanyu/unigameapp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abhiimanyu/unigameapp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("abhiimanyu/unigameapp", 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
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Download README.md from abhiimanyu/unigameapp: direct link, hf CLI and curl.
- Browser
- Download file 328 Bytes
-
https://huggingface.co/abhiimanyu/unigameapp/resolve/main/README.md
- Command line
-
hf download hf://abhiimanyu/unigameapp/README.md
-
curl -L -o README.md https://huggingface.co/abhiimanyu/unigameapp/resolve/main/README.md
328 Bytes
metadata
language:
- en
license: creativeml-openrail-m
library_name: diffusers
tags:
- art
- people
- diffusion
- Cinematic
- Photography
- Landscape
- Interior
- Food
- Car
- Wildlife
- Architecture
base_model: stabilityai/stable-diffusion-xl-base-1.0
pipeline_tag: text-to-image
#unigameapp + RunDiffusion Photo v2 Official