Text-to-Image
Diffusers
Safetensors
PixArtAlphaPipeline
pixart-alpha
diffusers-training
textual_inversion
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("PixArt-alpha/PixArt-XL-2-512x512", dtype=torch.bfloat16, device_map="cuda")
pipe.load_textual_inversion("futurefrompast/pixart-alpha-512")Pixart-alpha resize text embedding - futurefrompast/pixart-alpha-512
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for futurefrompast/pixart-alpha-512
Base model
PixArt-alpha/PixArt-XL-2-512x512