SigmaJourney / README.md
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Trained for 5 epochs and 5500 steps.
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---
license: creativeml-openrail-m
base_model: "PixArt-alpha/PixArt-Sigma-XL-2-1024-MS"
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- full
inference: true
widget:
- text: 'unconditional (blank prompt)'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_0_0.png
- text: 'a woman sitting on the grass'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_1_0.png
- text: 'a professional photo headshot of a man in studio lighting'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_2_0.png
- text: 'a person holding a sign that reads ''SOON'''
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_3_0.png
- text: 'Alien marketplace, bizarre creatures, exotic goods, vibrant colors, otherworldly atmosphere'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_4_0.png
- text: 'Child holding a balloon, happy expression, colorful balloons, sunny day, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_5_0.png
- text: 'a 4-panel comic strip showing an orange cat saying the words ''HELP'' and ''LASAGNA'''
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_6_0.png
- text: 'a hand is holding a comic book with a cover that reads ''The Adventures of Superhero'''
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_7_0.png
- text: 'Underground cave filled with crystals, glowing lights, reflective surfaces, fantasy environment, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_8_0.png
- text: 'Bustling cyberpunk bazaar, vendors, neon signs, advanced tech, crowded, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_9_0.png
- text: 'Cyberpunk hacker in a dark room, neon glow, multiple screens, intense focus, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_10_0.png
- text: 'a cybernetic anne of green gables with neural implant and bio mech augmentations'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_11_0.png
- text: 'Post-apocalyptic cityscape, ruined buildings, overgrown vegetation, dark and gritty, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_12_0.png
- text: 'Magical castle in a lush forest, glowing windows, fantasy architecture, high resolution, detailed textures'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_13_0.png
- text: 'Ruins of an ancient temple in an enchanted forest, glowing runes, mystical creatures, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_14_0.png
- text: 'Mystical forest, glowing plants, fairies, magical creatures, fantasy art, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_15_0.png
- text: 'Magical garden with glowing flowers, fairies, serene atmosphere, detailed plants, high resolution'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_16_0.png
- text: 'Whimsical garden filled with fairies, magical plants, sparkling lights, serene atmosphere, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_17_0.png
- text: 'Majestic dragon soaring through the sky, detailed scales, dynamic pose, fantasy art, high resolution'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_18_0.png
- text: 'Fantasy world, floating islands in the sky, waterfalls, lush vegetation, detailed landscape, high resolution'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_19_0.png
- text: 'Futuristic city skyline at night, neon lights, cyberpunk style, high contrast, sharp focus'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_20_0.png
- text: 'Space battle scene, starships fighting, laser beams, explosions, cosmic background'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_21_0.png
- text: 'Abandoned fairground at night, eerie rides, ghostly figures, fog, dark atmosphere, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_22_0.png
- text: 'Spooky haunted mansion on a hill, dark and eerie, glowing windows, ghostly atmosphere, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_23_0.png
- text: 'a hardcover physics textbook that is called PHYSICS FOR DUMMIES'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_24_0.png
- text: 'Epic medieval battle, knights in armor, dynamic action, detailed landscape, high resolution'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_25_0.png
- text: 'Bustling medieval market with merchants, knights, and jesters, vibrant colors, detailed'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_26_0.png
- text: 'Cozy medieval tavern, warm firelight, adventurers drinking, detailed interior, rustic atmosphere'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_27_0.png
- text: 'Futuristic city skyline at night, neon lights, cyberpunk style, high contrast, sharp focus'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_28_0.png
- text: 'Forest with neon-lit trees, glowing plants, bioluminescence, surreal atmosphere, high detail'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_29_0.png
- text: 'Bright neon sign in a busy city street, ''Open 24 Hours'', bold typography, glowing lights'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_30_0.png
- text: 'Retro diner sign, ''Joe''s Diner'', classic 1950s design, neon lights, weathered look'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_31_0.png
- text: 'Vintage store sign with elaborate typography, ''Antique Shop'', hand-painted, weathered look'
parameters:
negative_prompt: 'blurry, cropped, ugly'
output:
url: ./assets/image_32_0.png
---
# pixart-training
This is a full rank finetune derived from [PixArt-alpha/PixArt-Sigma-XL-2-1024-MS](https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS).
No validation prompt was used during training.
None
## Validation settings
- CFG: `7.5`
- CFG Rescale: `0.0`
- Steps: `30`
- Sampler: `euler`
- Seed: `42`
- Resolution: `1024`
Note: The validation settings are not necessarily the same as the [training settings](#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: 5
- Training steps: 5500
- Learning rate: 8e-06
- Effective batch size: 128
- Micro-batch size: 32
- Gradient accumulation steps: 4
- Number of GPUs: 1
- Prediction type: epsilon
- Rescaled betas zero SNR: False
- Optimizer: AdamW, stochastic bf16
- Precision: Pure BF16
- Xformers: Enabled
## Datasets
### mj-v6
- Repeats: 0
- Total number of images: 134144
- Total number of aspect buckets: 1
- Resolution: 1.0 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
## Inference
```python
import torch
from diffusers import DiffusionPipeline
model_id = "pixart-training"
prompt = "An astronaut is riding a horse through the jungles of Thailand."
negative_prompt = "malformed, disgusting, overexposed, washed-out"
pipeline = DiffusionPipeline.from_pretrained(model_id)
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=7.5,
guidance_rescale=0.0,
).images[0]
image.save("output.png", format="PNG")
```