zelenioncode/custum_model_safetonsors 🔢📝❓ → 🖼️
About
DreamBooth safetensors model use RealVisXL

Example Output
Prompt:
"photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3"
Output




Performance Metrics
15.72s
Prediction Time
15.74s
Total Time
All Input Parameters
{ "seed": 3456051406, "width": 768, "height": 1024, "prompt": "photograph of casual sophisticated ohwx woman, looking camera, classic side part, tailored black three-piece suit,skin imperfections, 8k uhd, dsir, soft lighting, high quality, film grain, Fujifilm XT3", "WithRVXL": true, "guidance_scale": 7, "number_picture": 4, "negative_prompt": "Tattoos, (deformed iris, deformed pupils, semi-realistic, gi, 3d, render, sketch, cartoon, drawing, anime), 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, UnrealisticDream", "num_inference_steps": 40 }
Input Parameters
- seed
- Enter a seed
- width
- Enter a width
- height
- Enter a height
- prompt
- Enter a prompt
- scheduler
- Scheduler to use
- safetensors
- Enter a safetensors (direct link download)
- guidance_scale
- Enter a guidance scale
- number_picture
- Enter a number of picture
- negative_prompt
- Enter a negative prompt
- num_inference_steps
- Enter a number of inference steps
Output Schema
Output
Example Execution Logs
0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:12, 3.17it/s] 5%|▌ | 2/40 [00:00<00:11, 3.27it/s] 8%|▊ | 3/40 [00:00<00:11, 3.30it/s] 10%|█ | 4/40 [00:01<00:10, 3.31it/s] 12%|█▎ | 5/40 [00:01<00:10, 3.32it/s] 15%|█▌ | 6/40 [00:01<00:10, 3.33it/s] 18%|█▊ | 7/40 [00:02<00:09, 3.33it/s] 20%|██ | 8/40 [00:02<00:09, 3.33it/s] 22%|██▎ | 9/40 [00:02<00:09, 3.32it/s] 25%|██▌ | 10/40 [00:03<00:09, 3.32it/s] 28%|██▊ | 11/40 [00:03<00:08, 3.32it/s] 30%|███ | 12/40 [00:03<00:08, 3.32it/s] 32%|███▎ | 13/40 [00:03<00:08, 3.32it/s] 35%|███▌ | 14/40 [00:04<00:07, 3.33it/s] 38%|███▊ | 15/40 [00:04<00:07, 3.33it/s] 40%|████ | 16/40 [00:04<00:07, 3.33it/s] 42%|████▎ | 17/40 [00:05<00:06, 3.33it/s] 45%|████▌ | 18/40 [00:05<00:06, 3.33it/s] 48%|████▊ | 19/40 [00:05<00:06, 3.32it/s] 50%|█████ | 20/40 [00:06<00:06, 3.32it/s] 52%|█████▎ | 21/40 [00:06<00:05, 3.32it/s] 55%|█████▌ | 22/40 [00:06<00:05, 3.32it/s] 57%|█████▊ | 23/40 [00:06<00:05, 3.32it/s] 60%|██████ | 24/40 [00:07<00:04, 3.32it/s] 62%|██████▎ | 25/40 [00:07<00:04, 3.32it/s] 65%|██████▌ | 26/40 [00:07<00:04, 3.32it/s] 68%|██████▊ | 27/40 [00:08<00:03, 3.32it/s] 70%|███████ | 28/40 [00:08<00:03, 3.32it/s] 72%|███████▎ | 29/40 [00:08<00:03, 3.32it/s] 75%|███████▌ | 30/40 [00:09<00:03, 3.32it/s] 78%|███████▊ | 31/40 [00:09<00:02, 3.32it/s] 80%|████████ | 32/40 [00:09<00:02, 3.32it/s] 82%|████████▎ | 33/40 [00:09<00:02, 3.32it/s] 85%|████████▌ | 34/40 [00:10<00:01, 3.32it/s] 88%|████████▊ | 35/40 [00:10<00:01, 3.32it/s] 90%|█████████ | 36/40 [00:10<00:01, 3.32it/s] 92%|█████████▎| 37/40 [00:11<00:00, 3.32it/s] 95%|█████████▌| 38/40 [00:11<00:00, 3.32it/s] 98%|█████████▊| 39/40 [00:11<00:00, 3.32it/s] 100%|██████████| 40/40 [00:12<00:00, 3.32it/s] 100%|██████████| 40/40 [00:12<00:00, 3.32it/s] StableDiffusionXLPipeline { "_class_name": "StableDiffusionXLPipeline", "_diffusers_version": "0.24.0", "feature_extractor": [ null, null ], "force_zeros_for_empty_prompt": true, "image_encoder": [ null, null ], "scheduler": [ "diffusers", "EulerDiscreteScheduler" ], "text_encoder": [ "transformers", "CLIPTextModel" ], "text_encoder_2": [ "transformers", "CLIPTextModelWithProjection" ], "tokenizer": [ "transformers", "CLIPTokenizer" ], "tokenizer_2": [ "transformers", "CLIPTokenizer" ], "unet": [ "diffusers", "UNet2DConditionModel" ], "vae": [ "diffusers", "AutoencoderKL" ] }
Version Details
- Version ID
eef480e5d1bbed213f523e8f49ae4a34e853361a0b177e0cffa5b081e3246429
- Version Created
- December 21, 2023