pipeline_tag: text-to-image
widget:
- text: >-
black fluffy gorgeous dangerous cat animal creature, large orange eyes,
big fluffy ears, piercing gaze, full moon, dark ambiance, best quality,
extremely detailed
output:
url: assets/final_output_00975_.png
- text: >-
(impressionistic realism by csybgh), a 50 something male, working in
banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry,
talks a lot but listens poorly, stuck in the past, wearing a suit, he has
a certain charm, bronze skintone, sitting in a bar at night, he is smoking
and feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed,
smokey ambiance, perfect hands AND fingers
output:
url: assets/final_output_00780_.png
- text: >-
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: assets/final_output_00817_.png
- text: >-
The image features an older man, a long white beard and mustache, He has
a stern expression, giving the impression of a wise and experienced
individual. The mans beard and mustache are prominent, adding to his
distinguished appearance. The close-up shot of the mans face emphasizes
his facial features and the intensity of his gaze.
output:
url: assets/final_output_00987_.png
- text: >-
Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass
flowers, Stains, space grunge style, Jeanne d'Arc 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: assets/final_output_00813_.png
- text: >-
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: assets/final_output_00991_.png
- text: '1980s anime portrait of a character '
output:
url: assets/final_output_00994_.png
license: apache-2.0
Prometheus
Prometheus is presumed to be the first full rank finetune of Playground v2.5, developed by the creator of the Proteus model. This text-to-image generation model has been specifically adapted to enhance accessibility for the open-source community.
Key Features and Considerations
Presumed First Full Rank Finetune of Playground v2.5:
Complete parameter update of Playground v2.5 architecture Unique approach to fine-tuning this particular base model
Enhanced Accessibility:
Custom sampling methods have been removed through brute force techniques Designed to be more compatible with standard open-source tools and workflows
Output Characteristics:
Aims to provide a balance between consistency and diversity in outputs May exhibit some stylistic tendencies inherited from the training process
Training Approach:
Utilizes the extensive Proteus datasets Focused on maintaining model capabilities while increasing compatibility
Custom CLIP Integration:
Incorporation of a specially trained CLIP model Requires a clip skip setting of 2 for optimal performance
About Prometheus
Prometheus represents an effort to make advanced text-to-image generation more accessible to the open-source community. Built upon the Playground v2.5 architecture, it has undergone a full rank finetune using the Proteus datasets. A key aspect of its development was the removal of custom sampling methods through brute force techniques, allowing the model to work more seamlessly with standard open-source tools and pipelines. This approach aims to balance the model's performance capabilities with wider compatibility and ease of use. Users can expect outputs that reflect the model's training on Proteus datasets
Recommended Settings
Clip Skip: 2 CFG Scale: 7 Steps: 25 - 50 Sampler: DPM++ 2M SDE Scheduler: Karras Resolution: 1024x1024
Use it with 🧨 diffusers
import torch
from diffusers import (
StableDiffusionXLPipeline,
KDPM2AncestralDiscreteScheduler,
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/PrometheusV1",
vae=vae,
torch_dtype=torch.float16
)
pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
pipe.to('cuda')
# Define prompts and generate image
prompt = "a cat wearing sunglasses on the beach"
negative_prompt = ""
image = pipe(
prompt,
negative_prompt=negative_prompt,
width=1024,
height=1024,
guidance_scale=7,
num_inference_steps=50,
clip_skip=2
).images[0]
image.save("generated_image.png")