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terminusresearch/pixart-900m-1024-ft-v0.7-stage1

sourceHugging Facecreativeml-openrail-mupdated 1mo agoView on Hugging Face
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Model Card

pixart-900m-1024-ft-v0.7-stage1

This is a full rank finetune derived from ptx0/pixart-900m-1024-ft-v0.7-stage1.

The main validation prompt used during training was:

a cute anime character named toast, holding a sign that reads SOON

Validation settings

  • —CFG: 4.0
  • —CFG Rescale: 0.7
  • —Steps: 30
  • —Sampler: None
  • —Seed: 420420420
  • —Resolution: 1024x1024

Note: The validation settings are not necessarily the same as the training settings.

You can find some example images in the following gallery:

<Gallery />

The text encoder was not trained. You may reuse the base model text encoder for inference.

Training settings

  • —Training epochs: 6
  • —Training steps: 220000
  • —Learning rate: 1e-06
  • —Effective batch size: 64
  • —Micro-batch size: 8
  • —Gradient accumulation steps: 1
  • —Number of GPUs: 8
  • —Prediction type: epsilon
  • —Rescaled betas zero SNR: False
  • —Optimizer: AdamW, stochastic bf16
  • —Precision: Pure BF16
  • —Xformers: Enabled

Datasets

sports

  • —Repeats: 0
  • —Total number of images: ~768
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

mj-60

  • —Repeats: 0
  • —Total number of images: ~179136
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

id-75k

  • —Repeats: 0
  • —Total number of images: ~36224
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

celebrities

  • —Repeats: 0
  • —Total number of images: ~1088
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

normalnudes

  • —Repeats: 0
  • —Total number of images: ~1024
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

guys

  • —Repeats: 0
  • —Total number of images: ~320
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

signs

  • —Repeats: 0
  • —Total number of images: ~320
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

dalle3

  • —Repeats: 0
  • —Total number of images: ~1112704
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

sfwbooru

  • —Repeats: 0
  • —Total number of images: ~395136
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

moviecollection

  • —Repeats: 0
  • —Total number of images: ~1792
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

bookcovers

  • —Repeats: 0
  • —Total number of images: ~704
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

nijijourney

  • —Repeats: 0
  • —Total number of images: ~512
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

experimental

  • —Repeats: 0
  • —Total number of images: ~3008
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

ethnic

  • —Repeats: 0
  • —Total number of images: ~3072
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

gay

  • —Repeats: 0
  • —Total number of images: ~1088
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

architecture

  • —Repeats: 0
  • —Total number of images: ~4352
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

shutterstock

  • —Repeats: 0
  • —Total number of images: ~21056
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

midjourney-v6-520k-raw

  • —Repeats: 0
  • —Total number of images: ~390976
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

nijijourney-v6-520k-raw

  • —Repeats: 0
  • —Total number of images: ~416064
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

cinemamix-1mp

  • —Repeats: 0
  • —Total number of images: ~7232
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

nsfw-1024

  • —Repeats: 0
  • —Total number of images: ~10752
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

anatomy

  • —Repeats: 5
  • —Total number of images: ~16384
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

bg20k-1024

  • —Repeats: 0
  • —Total number of images: ~89280
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

yoga

  • —Repeats: 0
  • —Total number of images: ~3584
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

photo-aesthetics

  • —Repeats: 0
  • —Total number of images: ~33088
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

text-1mp

  • —Repeats: 5
  • —Total number of images: ~13184
  • —Total number of aspect buckets: 1
  • —Resolution: 1.0 megapixels
  • —Cropped: True
  • —Crop style: random
  • —Crop aspect: square

Inference

python
import torch
from diffusers import DiffusionPipeline

model_id = 'pixart-900m-1024-ft-v0.7-stage1'
pipeline = DiffusionPipeline.from_pretrained(model_id)

prompt = "a cute anime character named toast, holding a sign that reads SOON"
negative_prompt = "blurry, cropped, ugly"

pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
    prompt=prompt,
    negative_prompt='blurry, cropped, ugly',
    num_inference_steps=30,
    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
    width=1152,
    height=768,
    guidance_scale=4.0,
    guidance_rescale=0.7,
).images[0]
image.save("output.png", format="PNG")