README.md

---
license: creativeml-openrail-m
base_model: "ptx0/pixart-900m-1024-ft-v0.7-stage1"
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
  - simpletuner
  - full

inference: true

---

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

This is a full rank finetune derived from [ptx0/pixart-900m-1024-ft-v0.7-stage1](https://huggingface.co/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](#training-settings).




<Gallery />

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


## Training settings

- Training epochs: 0
- Training steps: 1000
- 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: False
- Crop style: None
- Crop aspect: None
### id-75k
- Repeats: 0
- Total number of images: ~36096
- Total number of aspect buckets: 1
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### celebrities
- Repeats: 0
- Total number of images: ~832
- Total number of aspect buckets: 14
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### 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: ~1125504
- Total number of aspect buckets: 11
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### sfwbooru
- Repeats: 0
- Total number of images: ~490688
- Total number of aspect buckets: 66
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### 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: ~192
- Total number of aspect buckets: 12
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### 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: ~20288
- Total number of aspect buckets: 11
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### midjourney-v6-520k-raw
- Repeats: 0
- Total number of images: ~390976
- Total number of aspect buckets: 1
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### nijijourney-v6-520k-raw
- Repeats: 0
- Total number of images: ~416064
- Total number of aspect buckets: 1
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### cinemamix-1mp
- Repeats: 0
- Total number of images: ~7296
- Total number of aspect buckets: 1
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### nsfw-1024
- Repeats: 0
- Total number of images: ~10624
- Total number of aspect buckets: 2
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### anatomy
- Repeats: 5
- Total number of images: ~15872
- Total number of aspect buckets: 8
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### bg20k-1024
- Repeats: 0
- Total number of images: ~88448
- Total number of aspect buckets: 15
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### yoga
- Repeats: 0
- Total number of images: ~3136
- Total number of aspect buckets: 2
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### photo-aesthetics
- Repeats: 0
- Total number of images: ~32576
- Total number of aspect buckets: 5
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
### text-1mp
- Repeats: 5
- Total number of images: ~13120
- Total number of aspect buckets: 3
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None


## 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")
```