Prompt

black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed

Prompt

(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

Prompt

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

Prompt

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.

Prompt

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

Prompt

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

Prompt

1980s anime portrait of a character

PrometheusV1

PrometheusV1 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
• post processing applied to ensure backwards compatibility with most SDXL LoRAs and tools

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 of over 400,000 images
• Brute force at scale training methodology
• Focused on maintaining model capabilities while increasing compatibility

Advanced Custom CLIP Integration:

• Incorporates a meticulously trained custom CLIP model
• Steadily developed over an extended period
• Further fine-tuned for specific qualities in Proteus and Prometheus
• Estimated to contribute 90% of the model's performance improvements
• Requires a clip skip setting of 2 for optimal performance

About PrometheusV1

PrometheusV1 represents a significant 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 an extensive dataset of over 400,000 images from the Proteus collection. A key aspect of its development was the removal of custom sampling methods through brute force techniques at scale, allowing the model to work more seamlessly with standard open-source tools and pipelines. Additionally, PrometheusV1 has been made backwards compatible with most SDXL LoRAs and tools. 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 intensive training on the large Proteus dataset while benefiting from improved interoperability with common open-source frameworks and existing SDXL ecosystem.

Training Details

Base Model: Playground v2.5 Finetune Type: Full rank (all layers updated) Training Dataset: Over 400,000 images from Proteus datasets, extensively curated and processed Training Approach: Brute force at scale, focused on removing custom sampling methods while maintaining model capabilities Fine-tuning Techniques: Standard optimization methods compatible with open-source tools Special Processing: post processing applied for SDXL LoRA and tool compatibility

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")