fermatresearch/photorealistic-fx 🔢🖼️❓📝 → 🖼️
About
RunDiffusion FX Photorealistic model, developed by RunDiffusion.
Example Output
Prompt:
"close up of a tiger staring at the camera with a fierce expression and the mouth open, bokeh effect, jungle, sharp teeth, hunting"
Output
Performance Metrics
5.59s
Prediction Time
5.55s
Total Time
All Input Parameters
{
"width": 768,
"height": "1024",
"prompt": "close up of a tiger staring at the camera with a fierce expression and the mouth open, bokeh effect, jungle, sharp teeth, hunting",
"scheduler": "K_EULER_ANCESTRAL",
"num_outputs": 1,
"guidance_scale": 7.5,
"negative_prompt": "(semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
"prompt_strength": 0.8,
"num_inference_steps": 30
}
Input Parameters
- seed
- Random seed. Leave blank to randomize the seed
- image
- (Img2Img) Initial image to generate variations of. If this is not none, Img2Img will be invoked.
- width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- prompt
- Input prompt
- scheduler
- Choose a scheduler.
- num_outputs
- Number of images to output.
- guidance_scale
- Scale for classifier-free guidance
- negative_prompt
- Specify things to not see in the output
- prompt_strength
- Prompt strength when using init image. 1.0 corresponds to full destruction of information in init image
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
Using seed: 30772 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:05, 5.69it/s] 7%|▋ | 2/30 [00:00<00:04, 6.29it/s] 10%|█ | 3/30 [00:00<00:04, 6.51it/s] 13%|█▎ | 4/30 [00:00<00:03, 6.62it/s] 17%|█▋ | 5/30 [00:00<00:03, 6.69it/s] 20%|██ | 6/30 [00:00<00:03, 6.73it/s] 23%|██▎ | 7/30 [00:01<00:03, 6.74it/s] 27%|██▋ | 8/30 [00:01<00:03, 6.76it/s] 30%|███ | 9/30 [00:01<00:03, 6.78it/s] 33%|███▎ | 10/30 [00:01<00:02, 6.79it/s] 37%|███▋ | 11/30 [00:01<00:02, 6.80it/s] 40%|████ | 12/30 [00:01<00:02, 6.80it/s] 43%|████▎ | 13/30 [00:01<00:02, 6.80it/s] 47%|████▋ | 14/30 [00:02<00:02, 6.80it/s] 50%|█████ | 15/30 [00:02<00:02, 6.81it/s] 53%|█████▎ | 16/30 [00:02<00:02, 6.81it/s] 57%|█████▋ | 17/30 [00:02<00:01, 6.80it/s] 60%|██████ | 18/30 [00:02<00:01, 6.80it/s] 63%|██████▎ | 19/30 [00:02<00:01, 6.80it/s] 67%|██████▋ | 20/30 [00:02<00:01, 6.80it/s] 70%|███████ | 21/30 [00:03<00:01, 6.80it/s] 73%|███████▎ | 22/30 [00:03<00:01, 6.80it/s] 77%|███████▋ | 23/30 [00:03<00:01, 6.80it/s] 80%|████████ | 24/30 [00:03<00:00, 6.80it/s] 83%|████████▎ | 25/30 [00:03<00:00, 6.80it/s] 87%|████████▋ | 26/30 [00:03<00:00, 6.81it/s] 90%|█████████ | 27/30 [00:03<00:00, 6.81it/s] 93%|█████████▎| 28/30 [00:04<00:00, 6.81it/s] 97%|█████████▋| 29/30 [00:04<00:00, 6.80it/s] 100%|██████████| 30/30 [00:04<00:00, 6.81it/s] 100%|██████████| 30/30 [00:04<00:00, 6.76it/s]
Version Details
- Version ID
580cd5e6de394d3ced207a7e4275d7d9b7e0174212f3bbe108e290e25a859a3e- Version Created
- June 13, 2023