datacte/proteus-v0.1

ProteusV0.1 uses OpenDalleV1.1 as a base and further refines prompt adherence and stylistic capabilities to a measurable degree

Public
6.7K runs

Input

string
Shift + Return to add a new line

Input prompt

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

string
Shift + Return to add a new line

Negative Input prompt

Default: "worst quality, low quality"

file

Input image for img2img or inpaint mode

file

Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.

integer

Width of output image

Default: 1024

integer

Height of output image

Default: 1024

integer
(minimum: 1, maximum: 4)

Number of images to output.

Default: 1

string

scheduler

Default: "KarrasDPM"

integer
(minimum: 1, maximum: 100)

Number of denoising steps. 20 to 35 steps for more detail, 20 steps for faster results.

Default: 20

number
(minimum: 1, maximum: 50)

Scale for classifier-free guidance. Recommended 7-8

Default: 7.5

number
(minimum: 0, maximum: 1)

Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image

Default: 0.8

integer

Random seed. Leave blank to randomize the seed

boolean

Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.

Default: true

boolean

This model’s safety checker can’t be disabled when running on the website. Learn more about platform safety on Replicate.

Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety

Default: false

Output

output
Generated in

Run time and cost

This model costs approximately $0.021 to run on Replicate, or 47 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 22 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Cog implementation of dataautogpt3/Proteus-v0.1

ProteusV0.1

ProteusV0.1 is currently my best model to date.

ProteusV0.1 uses OpenDalleV1.1 as a substantial base to work from in terms of an untuned base model. It further refines said prompt adherence and stylistic capabilities to a measurable degree. tuned on 10k unique examples of high-quality captioned images generated from dalle3 and then further refined using 220k GPTV captioned non-copyright stock images with some anime through in here and there.

ProteusV0.1 has a noticeable improvement in facial features and skin detailing. while still keeping similar or slightly improved levels of surrealism, anime, and cartoonish styles.

Settings for ProteusV0.1

Use these settings for the best results with ProteusV0.1:

CFG Scale: Use a CFG scale of 8 to 7

Steps: 20 to 35 steps for more detail, 20 steps for faster results.

Sampler: DPM 2M++

Scheduler: Karras

please also consider using these keep words to improve your prompts: best quality, HD, aesthetic,