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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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- 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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- 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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- 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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- 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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- 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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- text: >- |
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in the style of artgerm, comic style,3D model, mythical seascape, negative |
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space, space quixotic dreams, temporal hallucination, psychedelic, mystical, |
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intricate details, very bright neon colors, (vantablack background:1.5), |
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pointillism, pareidolia, melting, symbolism, very high contrast, chiaroscuro |
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parameters: |
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negative_prompt: >- |
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bad quality, bad anatomy, worst quality, low quality, low resolutions, |
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extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image |
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artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image |
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- text: >- |
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1980s anime portrait of a character glitching. His face is separated from |
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his body by heavy static. His face is deformed by pain. Dream-like, analog |
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horror, glitch, terrifying |
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- text: (("Proteus"):text_logo:1) |
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- text: >- |
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dan seagrave, dante, Abandon All Hope, Ye Who Enter Here, hell religious art |
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purgatory zdzislaw Beksinski, abyss inferno, lost, wanderer |
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license: gpl-3.0 |
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--- |
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<Gallery /> |
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## fp16 Fork of [dataautogpt3/ProteusV0.2](https://huggingface.co/dataautogpt3/ProteusV0.2) |
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merged with RealCartoonXL to fix issues with inability to understand tags related to anime or cartoon styles at just a weight of 0.5% out of 100% using custom scripts with slerp like methods. |
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Version 0.2 shows subtle yet significant improvements over Version 0.1. It demonstrates enhanced prompt understanding that surpasses MJ6, while also approaching its stylistic capabilities. |
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## Proteus |
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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. |
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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. |
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## Settings for ProteusV0.2 |
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Use these settings for the best results with ProteusV0.2: |
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CFG Scale: Use a CFG scale of 8 to 7 |
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Steps: 20 to 60 steps for more detail, 20 steps for faster results. |
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Sampler: DPM++ 2M SDE |
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Scheduler: Karras |
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Resolution: 1280x1280 or 1024x1024 |
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please also consider using these keep words to improve your prompts: |
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best quality, HD, `~*~aesthetic~*~`. |
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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 |
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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/ProteusV0.2", |
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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 = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed" |
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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" |
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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=20 |
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).images[0] |
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``` |
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please support the work I do through donating to me on: |
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https://www.buymeacoffee.com/DataVoid |
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or following me on |
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https://twitter.com/DataPlusEngine |
