vivalapanda/conceptual-image-to-image 🔢📝🖼️❓ → 🖼️
About
Conceptual image-to-image model for Stable Diffusion 2.0
Example Output
Prompt:
"A psychedelic being living in an extradimensional reality, in the style of wlop, illustration, epic, fantasy, hyper detailed, smooth, unreal engine, sharp focus, ray tracing, physically based rendering, renderman, beautiful"
Output



Performance Metrics
23.09s
Prediction Time
23.14s
Total Time
All Input Parameters
{
"prompt": "A psychedelic being living in an extradimensional reality, in the style of wlop, illustration, epic, fantasy, hyper detailed, smooth, unreal engine, sharp focus, ray tracing, physically based rendering, renderman, beautiful",
"init_image": "https://replicate.delivery/pbxt/HrIfTF8vV2r9cCYnpU4bqlZQcFaW6USaRJI5tFyVBh87XQfy/Screen%20Shot%202022-11-26%20at%208.51.29%20PM.png",
"captioning_model": "blip",
"conceptual_image_strength": 0.44,
"structural_image_strength": 0.09
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- prompt
- Input prompt
- init_image
- Inital image to provide structural or conceptual guidance
- captioning_model
- Captioning model to use. One of 'blip' or 'clip-interrogator-v1'
- conceptual_image_strength
- Conceptual image strength. 0.0 doesn't use the image conceptually at all, 1.0 only uses the image concept and ignores the prompt.
- structural_image_strength
- Structural (standard) image strength. 0.0 corresponds to full destruction of information, and does not use the initial image for structure.
Output Schema
Output
Example Execution Logs
Using seed: 25141 Interrogating with ViT-L/14... a picture of a cat in a space suit, a stock photo by Master MS, featured on reddit, space art, futuristic, sci-fi, stock photo Captioning using blip Image prompt: a picture of a cat in a space suit 0it [00:00, ?it/s] 2it [00:00, 8.24it/s] 3it [00:00, 7.06it/s] 4it [00:00, 6.57it/s] 5it [00:00, 6.32it/s] 6it [00:00, 6.16it/s] 7it [00:01, 6.08it/s] 8it [00:01, 6.00it/s] 9it [00:01, 5.98it/s] 10it [00:01, 5.90it/s] 11it [00:01, 5.94it/s] 12it [00:01, 5.93it/s] 13it [00:02, 5.91it/s] 14it [00:02, 5.89it/s] 15it [00:02, 5.90it/s] 16it [00:02, 5.90it/s] 17it [00:02, 5.89it/s] 18it [00:02, 5.89it/s] 19it [00:03, 5.89it/s] 20it [00:03, 5.88it/s] 21it [00:03, 5.89it/s] 22it [00:03, 5.83it/s] 23it [00:03, 5.87it/s] 24it [00:03, 5.88it/s] 25it [00:04, 5.88it/s] 26it [00:04, 5.88it/s] 27it [00:04, 5.88it/s] 28it [00:04, 5.88it/s] 29it [00:04, 5.88it/s] 30it [00:05, 5.88it/s] 31it [00:05, 5.89it/s] 32it [00:05, 5.89it/s] 33it [00:05, 5.88it/s] 34it [00:05, 5.88it/s] 35it [00:05, 5.88it/s] 36it [00:06, 5.88it/s] 37it [00:06, 5.88it/s] 38it [00:06, 5.88it/s] 39it [00:06, 5.88it/s] 40it [00:06, 5.88it/s] 41it [00:06, 5.88it/s] 42it [00:07, 5.88it/s] 43it [00:07, 5.88it/s] 44it [00:07, 5.88it/s] 45it [00:07, 5.88it/s] 46it [00:07, 5.89it/s] 47it [00:07, 5.89it/s] 48it [00:08, 5.88it/s] 49it [00:08, 5.89it/s] 50it [00:08, 5.89it/s] 51it [00:08, 5.89it/s] 52it [00:08, 5.89it/s] 53it [00:08, 5.87it/s] 54it [00:09, 5.89it/s] 54it [00:09, 5.94it/s]
Version Details
- Version ID
f4563afd20429700e91f9717d9f4104b80987be25a2ad7304cf0f196804f3bef- Version Created
- November 27, 2022