lovewraps/annie_vixen 🖼️🔢❓📝✓ → 🖼️
About
online_vixen (realistic)

Example Output
Prompt:
"
Create image of annie based on the following:
- Woman with long, wavy bright red hair
- Wearing black fishnet/mesh long-sleeved top with "badmood" text in orange/red gothic lettering across the chest
- Black fishnet stockings/tights with garter belt straps and metal ring details
- Arms raised above head in a posed position
- Extensive tattoo coverage visible on arms and torso
- Red lipstick, dramatic eye makeup with long eyelashes
- Standing against plain white/light gray background
Consistent elements to include image generation:
- Professional studio lighting
- Clean, minimalist background
- High contrast, vibrant color saturation
- Fashion/lifestyle photography style
- Identical hair color, length, and styling
- Same facial features and makeup application
- Extensive black tattoo work on both arms and visible body areas
Output

Performance Metrics
33.12s
Prediction Time
35.54s
Total Time
All Input Parameters
{ "model": "dev", "prompt": "Create image of annie based on the following:\n- Woman with long, wavy bright red hair\n- Wearing black fishnet/mesh long-sleeved top with \"badmood\" text in orange/red gothic lettering across the chest\n- Black fishnet stockings/tights with garter belt straps and metal ring details\n- Arms raised above head in a posed position\n- Extensive tattoo coverage visible on arms and torso\n- Red lipstick, dramatic eye makeup with long eyelashes\n- Standing against plain white/light gray background\n\nConsistent elements to include image generation:\n- Professional studio lighting\n- Clean, minimalist background\n- High contrast, vibrant color saturation\n- Fashion/lifestyle photography style\n- Identical hair color, length, and styling\n- Same facial features and makeup application\n- Extensive black tattoo work on both arms and visible body areas", "go_fast": false, "lora_scale": 1, "megapixels": "1", "num_outputs": 3, "aspect_ratio": "9:16", "output_format": "png", "guidance_scale": 2, "output_quality": 100, "prompt_strength": 0.8, "extra_lora_scale": 1, "num_inference_steps": 40 }
Input Parameters
- mask
- Image mask for image inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- seed
- Random seed. Set for reproducible generation
- image
- Input image for image to image or inpainting mode. If provided, aspect_ratio, width, and height inputs are ignored.
- model
- Which model to run inference with. The dev model performs best with around 28 inference steps but the schnell model only needs 4 steps.
- width
- Width of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- height
- Height of generated image. Only works if `aspect_ratio` is set to custom. Will be rounded to nearest multiple of 16. Incompatible with fast generation
- prompt (required)
- Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
- go_fast
- Run faster predictions with model optimized for speed (currently fp8 quantized); disable to run in original bf16
- extra_lora
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- lora_scale
- Determines how strongly the main LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- megapixels
- Approximate number of megapixels for generated image
- num_outputs
- Number of outputs to generate
- aspect_ratio
- Aspect ratio for the generated image. If custom is selected, uses height and width below & will run in bf16 mode
- output_format
- Format of the output images
- guidance_scale
- Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
- output_quality
- Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
- prompt_strength
- Prompt strength when using img2img. 1.0 corresponds to full destruction of information in image
- extra_lora_scale
- Determines how strongly the extra LoRA should be applied. Sane results between 0 and 1 for base inference. For go_fast we apply a 1.5x multiplier to this value; we've generally seen good performance when scaling the base value by that amount. You may still need to experiment to find the best value for your particular lora.
- replicate_weights
- Load LoRA weights. Supports Replicate models in the format <owner>/<username> or <owner>/<username>/<version>, HuggingFace URLs in the format huggingface.co/<owner>/<model-name>, CivitAI URLs in the format civitai.com/models/<id>[/<model-name>], or arbitrary .safetensors URLs from the Internet. For example, 'fofr/flux-pixar-cars'
- num_inference_steps
- Number of denoising steps. More steps can give more detailed images, but take longer.
- disable_safety_checker
- Disable safety checker for generated images.
Output Schema
Output
Example Execution Logs
free=26894439661568 Downloading weights 2025-06-30T06:59:37Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpnyo82gl5/weights url=https://replicate.delivery/xezq/j6T9Hj45IWqhGtGnG4KZtAQUefNM9VAwVrnj3pWQY3UJg67UA/flux-lora.tar 2025-06-30T06:59:37Z | INFO | [ Cache Service ] enabled=true scheme=http target=hermes.services.svc.cluster.local 2025-06-30T06:59:37Z | INFO | [ Cache URL Rewrite ] enabled=true target_url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/j6T9Hj45IWqhGtGnG4KZtAQUefNM9VAwVrnj3pWQY3UJg67UA/flux-lora.tar url=https://replicate.delivery/xezq/j6T9Hj45IWqhGtGnG4KZtAQUefNM9VAwVrnj3pWQY3UJg67UA/flux-lora.tar 2025-06-30T06:59:38Z | INFO | [ Redirect ] redirect_url=https://replicate.delivery/xezq/j6T9Hj45IWqhGtGnG4KZtAQUefNM9VAwVrnj3pWQY3UJg67UA/flux-lora.tar url=http://hermes.services.svc.cluster.local/replicate.delivery/xezq/j6T9Hj45IWqhGtGnG4KZtAQUefNM9VAwVrnj3pWQY3UJg67UA/flux-lora.tar 2025-06-30T06:59:40Z | INFO | [ Complete ] dest=/tmp/tmpnyo82gl5/weights size="172 MB" total_elapsed=2.600s url=https://replicate.delivery/xezq/j6T9Hj45IWqhGtGnG4KZtAQUefNM9VAwVrnj3pWQY3UJg67UA/flux-lora.tar Downloaded weights in 2.66s Loaded LoRAs in 3.18s Using seed: 65297 Prompt: Create image of annie based on the following: - Woman with long, wavy bright red hair - Wearing black fishnet/mesh long-sleeved top with "badmood" text in orange/red gothic lettering across the chest - Black fishnet stockings/tights with garter belt straps and metal ring details - Arms raised above head in a posed position - Extensive tattoo coverage visible on arms and torso - Red lipstick, dramatic eye makeup with long eyelashes - Standing against plain white/light gray background Consistent elements to include image generation: - Professional studio lighting - Clean, minimalist background - High contrast, vibrant color saturation - Fashion/lifestyle photography style - Identical hair color, length, and styling - Same facial features and makeup application - Extensive black tattoo work on both arms and visible body areas [!] txt2img mode 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:28, 1.39it/s] 5%|▌ | 2/40 [00:01<00:24, 1.56it/s] 8%|▊ | 3/40 [00:02<00:25, 1.47it/s] 10%|█ | 4/40 [00:02<00:25, 1.43it/s] 12%|█▎ | 5/40 [00:03<00:24, 1.41it/s] 15%|█▌ | 6/40 [00:04<00:24, 1.40it/s] 18%|█▊ | 7/40 [00:04<00:23, 1.39it/s] 20%|██ | 8/40 [00:05<00:23, 1.39it/s] 22%|██▎ | 9/40 [00:06<00:22, 1.38it/s] 25%|██▌ | 10/40 [00:07<00:21, 1.38it/s] 28%|██▊ | 11/40 [00:07<00:20, 1.38it/s] 30%|███ | 12/40 [00:08<00:20, 1.38it/s] 32%|███▎ | 13/40 [00:09<00:19, 1.38it/s] 35%|███▌ | 14/40 [00:10<00:18, 1.38it/s] 38%|███▊ | 15/40 [00:10<00:18, 1.38it/s] 40%|████ | 16/40 [00:11<00:17, 1.38it/s] 42%|████▎ | 17/40 [00:12<00:16, 1.38it/s] 45%|████▌ | 18/40 [00:12<00:16, 1.37it/s] 48%|████▊ | 19/40 [00:13<00:15, 1.37it/s] 50%|█████ | 20/40 [00:14<00:14, 1.37it/s] 52%|█████▎ | 21/40 [00:15<00:13, 1.37it/s] 55%|█████▌ | 22/40 [00:15<00:13, 1.37it/s] 57%|█████▊ | 23/40 [00:16<00:12, 1.38it/s] 60%|██████ | 24/40 [00:17<00:11, 1.38it/s] 62%|██████▎ | 25/40 [00:18<00:10, 1.38it/s] 65%|██████▌ | 26/40 [00:18<00:10, 1.38it/s] 68%|██████▊ | 27/40 [00:19<00:09, 1.37it/s] 70%|███████ | 28/40 [00:20<00:08, 1.37it/s] 72%|███████▎ | 29/40 [00:20<00:07, 1.38it/s] 75%|███████▌ | 30/40 [00:21<00:07, 1.38it/s] 78%|███████▊ | 31/40 [00:22<00:06, 1.37it/s] 80%|████████ | 32/40 [00:23<00:05, 1.37it/s] 82%|████████▎ | 33/40 [00:23<00:05, 1.37it/s] 85%|████████▌ | 34/40 [00:24<00:04, 1.37it/s] 88%|████████▊ | 35/40 [00:25<00:03, 1.38it/s] 90%|█████████ | 36/40 [00:26<00:02, 1.37it/s] 92%|█████████▎| 37/40 [00:26<00:02, 1.37it/s] 95%|█████████▌| 38/40 [00:27<00:01, 1.37it/s] 98%|█████████▊| 39/40 [00:28<00:00, 1.38it/s] 100%|██████████| 40/40 [00:28<00:00, 1.37it/s] 100%|██████████| 40/40 [00:28<00:00, 1.38it/s] NSFW content detected in image 0 NSFW content detected in image 1 Total safe images: 1 out of 3
Version Details
- Version ID
0295e691f46f18e2bc73dd0e7ce24b00c4d9177b739c240ecccaa359b903c9eb
- Version Created
- June 30, 2025