pipeline_tag: text-to-image
widget:
- text: Anime Girl holding a sign that says 'Proteus Lighting'
output:
url: ComfyUI_08512_.png
- text: >-
Anime full body portrait of a swordsman holding his weapon in front of
him. He is facing the camera with a fierce look on his face. Anime key
visual (best quality, HD, ~*~aesthetic~*~:1.2)
output:
url: ComfyUI_08516_.png
- text: >-
Anime high quality pixel art, a pixel art silhouette of an anime
space-themed girl in a space-punk steampunk style, lying in her bed by the
window of a spaceship, smoking, with a rustic feel. The image should
embody epic portraiture and double exposure, featuring an isolated
landscape visible through the window. The colors should primarily be
dynamic and action-packed, with a strong use of negative space. The entire
artwork should be in pixel art style, emphasizing the characters shape and
set against a white background. Silhouette
output:
url: ComfyUI_08567_.png
- text: >-
Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass
flowers, Stains, space grunge style, Jeanne dArc wearing White Olive green
used styled Cotton frock, Wielding thin silver sword, Sci-fi vibe, dirty,
noisy, Vintage monk style, very detailed, hd
output:
url: ComfyUI_08571_.png
- text: >-
Super cinematic film still of Kodak Motion Picture Film (Sharp Detailed
Image) An Oscar winning movie for Best Cinematography a woman in a kimono
standing on a subway train in Japan Kodak Motion Picture Film Style,
shallow depth of field, vignette, highly detailed, high budget, bokeh,
cinemascope, moody, epic, gorgeous, film grain, grainy
output:
url: ComfyUI_08578_.png
- text: >-
in the style of artgerm, comic style,3D model, mythical seascape, negative
space, space quixotic dreams, temporal hallucination, psychedelic,
mystical, intricate details, very bright neon colors, (vantablack
background:1.5), pointillism, pareidolia, melting, symbolism, very high
contrast, chiaroscuro
output:
url: ComfyUI_08582_.png
license: gpl-3.0
using the new Lightning method released by bytedance for faster inference with minimal loss interms of quality and prompt comprehension.
Proteus
Proteus serves as a sophisticated enhancement over OpenDalleV1.1, leveraging its core functionalities to deliver superior outcomes. Key areas of advancement include heightened responsiveness to prompts and augmented creative capacities. To achieve this, it was fine-tuned using approximately 220,000 GPTV captioned images from copyright-free stock images (with some anime included), which were then normalized. Additionally, DPO (Direct Preference Optimization) was employed through a collection of 10,000 carefully selected high-quality, AI-generated image pairs.
In pursuit of optimal performance, numerous LORA (Low-Rank Adaptation) models are trained independently before being selectively incorporated into the principal model via dynamic application methods. These techniques involve targeting particular segments within the model while avoiding interference with other areas during the learning phase. Consequently, Proteus exhibits marked improvements in portraying intricate facial characteristics and lifelike skin textures, all while sustaining commendable proficiency across various aesthetic domains, notably surrealism, anime, and cartoon-style visualizations.
Settings for ProteusV0.3-Lightning
Use these settings for the best results with ProteusV0.3-Lightning:
CFG Scale: Use a CFG scale of 1 to 2
Steps: 4 to 10 steps for more detail, 8 steps for faster results.
Sampler: eular
Scheduler: normal
Resolution: 1280x1280 or 1024x1024
please also consider using these keep words to improve your prompts:
best quality, HD, ~*~aesthetic~*~
.
if you are having trouble coming up with prompts you can use this GPT I put together to help you refine the prompt. https://chat.openai.com/g/g-RziQNoydR-diffusion-master
Use it with 🧨 diffusers
import torch
from diffusers import (
StableDiffusionXLPipeline,
EulerAncestralDiscreteScheduler,
AutoencoderKL
)
# Load VAE component
vae = AutoencoderKL.from_pretrained(
"madebyollin/sdxl-vae-fp16-fix",
torch_dtype=torch.float16
)
# Configure the pipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
"dataautogpt3/ProteusV0.3-Lightning",
vae=vae,
torch_dtype=torch.float16
)
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.to('cuda')
# Define prompts and generate image
prompt = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed"
negative_prompt = "nsfw, bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image"
image = pipe(
prompt,
negative_prompt=negative_prompt,
width=1024,
height=1024,
guidance_scale=1,
num_inference_steps=4
).images[0]
please support the work I do through donating to me on: https://www.buymeacoffee.com/DataVoid or following me on https://twitter.com/DataPlusEngine