Text-to-Image
Diffusers
Safetensors
PixArtSigmaPipeline
stable-diffusion
stable-diffusion-diffusers
full
pixart
pixart sigma
Instructions to use TensorFamily/SigmaJourney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TensorFamily/SigmaJourney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TensorFamily/SigmaJourney", dtype=torch.bfloat16, device_map="cuda") prompt = "A blonde sexy girl, wearing glasses at latex shirt and a blue beanie with a tattoo, blue and white, highly detailed, sublime, extremely beautiful, sharp focus, refined, cinematic, intricate, elegant, dynamic, rich deep colors, bright color, shining light, attractive, cute, pretty, background full, epic composition, dramatic atmosphere, radiant, professional, stunning" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Does it support Controlnet and IP adapter
#2 opened almost 2 years ago
by
michaelj
What is the memory requirement or compute required to use pixart-training?
1
#1 opened almost 2 years ago
by
NunyaBuzor