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README.md
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---
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pipeline_tag: text-to-image
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widget:
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- text: >-
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black fluffy gorgeous dangerous cat animal creature, large orange eyes, big
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fluffy ears, piercing gaze, full moon, dark ambiance, best quality,
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extremely detailed
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output:
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url: assets/final_output_00875_.png
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- text: >-
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(impressionistic realism by csybgh), a 50 something male, working in
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banking, very short dyed dark curly balding hair, Afro-Asiatic ancestry,
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talks a lot but listens poorly, stuck in the past, wearing a suit, he has a
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certain charm, bronze skintone, sitting in a bar at night, he is smoking and
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feeling cool, drunk on plum wine, masterpiece, 8k, hyper detailed, smokey
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ambiance, perfect hands AND fingers
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output:
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url: assets/final_output_00886_.png
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- text: >-
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high quality pixel art, a pixel art silhouette of an anime space-themed girl
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in a space-punk steampunk style, lying in her bed by the window of a
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spaceship, smoking, with a rustic feel. The image should embody epic
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portraiture and double exposure, featuring an isolated landscape visible
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through the window. The colors should primarily be dynamic and
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action-packed, with a strong use of negative space. The entire artwork
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should be in pixel art style, emphasizing the characters shape and set
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against a white background. Silhouette
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output:
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url: assets/final_output_00871_.png
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- text: >-
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The image features an older man, a long white beard and mustache, He has a
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stern expression, giving the impression of a wise and experienced
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individual. The mans beard and mustache are prominent, adding to his
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distinguished appearance. The close-up shot of the mans face emphasizes his
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facial features and the intensity of his gaze.
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output:
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url: assets/final_output_00895_.png
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- text: >-
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Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass
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flowers, Stains, space grunge style, Jeanne d'Arc wearing White Olive green
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used styled Cotton frock, Wielding thin silver sword, Sci-fi vibe, dirty,
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noisy, Vintage monk style, very detailed, hd
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output:
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url: assets/final_output_00902_.png
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- text: >-
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cinematic film still of Kodak Motion Picture Film: (Sharp Detailed Image) An
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Oscar winning movie for Best Cinematography a woman in a kimono standing on
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a subway train in Japan Kodak Motion Picture Film Style, shallow depth of
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field, vignette, highly detailed, high budget, bokeh, cinemascope, moody,
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epic, gorgeous, film grain, grainy
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output:
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url: assets/final_output_00906_.png
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- text: >-
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1980s anime portrait of a character
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output:
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url: assets/final_output_00916_.png
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- text: (("Proteus"):text_logo:1)
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output:
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url: assets/final_output_00923_.png
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license: apache-2.0
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---
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<Gallery />
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# Prometheus
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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.
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# Key Features and Considerations
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Presumed First Full Rank Finetune of Playground v2.5:
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Complete parameter update of Playground v2.5 architecture
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Unique approach to fine-tuning this particular base model
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# Enhanced Accessibility:
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Custom sampling methods have been removed through brute force techniques
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Designed to be more compatible with standard open-source tools and workflows
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# Output Characteristics:
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Aims to provide a balance between consistency and diversity in outputs
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May exhibit some stylistic tendencies inherited from the training process
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# Training Approach:
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Utilizes the extensive Proteus datasets
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Focused on maintaining model capabilities while increasing compatibility
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# Custom CLIP Integration:
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Incorporation of a specially trained CLIP model
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Requires a clip skip setting of 2 for optimal performance
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# About Prometheus
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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.
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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
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# Recommended Settings
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Clip Skip: 2
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CFG Scale: 7
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Steps: 25 - 50
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Sampler: DPM++ 2M SDE
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Scheduler: Karras
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Resolution: 1024x1024
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# Use it with 🧨 diffusers
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```python
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import torch
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from diffusers import (
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StableDiffusionXLPipeline,
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KDPM2AncestralDiscreteScheduler,
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AutoencoderKL
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)
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# Load VAE component
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vae = AutoencoderKL.from_pretrained(
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"madebyollin/sdxl-vae-fp16-fix",
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torch_dtype=torch.float16
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)
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# Configure the pipeline
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"dataautogpt3/PrometheusV1",
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vae=vae,
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torch_dtype=torch.float16
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)
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pipe.scheduler = KDPM2AncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to('cuda')
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# Define prompts and generate image
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prompt = "a cat wearing sunglasses on the beach"
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negative_prompt = ""
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image = pipe(
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prompt,
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negative_prompt=negative_prompt,
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width=1024,
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height=1024,
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guidance_scale=7,
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num_inference_steps=50,
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clip_skip=2
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).images[0]
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image.save("generated_image.png")
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```
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