ferunelli/chadmeme 🖼️🔢❓📝✓ → 🖼️
About
Example Output
Prompt:
"chadmeme male cooks. White background, minimalistic, draw with pen"
Output
Performance Metrics
54.58s
Prediction Time
59.25s
Total Time
All Input Parameters
{
"model": "dev",
"width": 512,
"height": 512,
"prompt": "chadmeme male cooks. White background, minimalistic, draw with pen",
"lora_scale": 1,
"num_outputs": 4,
"aspect_ratio": "1:1",
"output_format": "webp",
"guidance_scale": 3.5,
"output_quality": 80,
"prompt_strength": 0.8,
"extra_lora_scale": 0.8,
"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
Using seed: 13182 Prompt: chadmeme male cooks. White background, minimalistic, draw with pen txt2img mode Using dev model free=9349386436608 Downloading weights 2024-09-04T14:29:41Z | INFO | [ Initiating ] chunk_size=150M dest=/tmp/tmpfmy8wp51/weights url=https://replicate.delivery/yhqm/jlgEfmhcWo2RLSu5ONuWhfF5N7OteMg06fNN0o5VsXctKHmNB/trained_model.tar 2024-09-04T14:29:43Z | INFO | [ Complete ] dest=/tmp/tmpfmy8wp51/weights size="172 MB" total_elapsed=1.834s url=https://replicate.delivery/yhqm/jlgEfmhcWo2RLSu5ONuWhfF5N7OteMg06fNN0o5VsXctKHmNB/trained_model.tar Downloaded weights in 1.86s Loaded LoRAs in 10.88s 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:41, 1.07s/it] 5%|▌ | 2/40 [00:01<00:35, 1.06it/s] 8%|▊ | 3/40 [00:02<00:37, 1.00s/it] 10%|█ | 4/40 [00:04<00:36, 1.03s/it] 12%|█▎ | 5/40 [00:05<00:36, 1.04s/it] 15%|█▌ | 6/40 [00:06<00:35, 1.05s/it] 18%|█▊ | 7/40 [00:07<00:34, 1.06s/it] 20%|██ | 8/40 [00:08<00:33, 1.06s/it] 22%|██▎ | 9/40 [00:09<00:32, 1.06s/it] 25%|██▌ | 10/40 [00:10<00:31, 1.06s/it] 28%|██▊ | 11/40 [00:11<00:30, 1.06s/it] 30%|███ | 12/40 [00:12<00:29, 1.07s/it] 32%|███▎ | 13/40 [00:13<00:28, 1.07s/it] 35%|███▌ | 14/40 [00:14<00:27, 1.07s/it] 38%|███▊ | 15/40 [00:15<00:26, 1.07s/it] 40%|████ | 16/40 [00:16<00:25, 1.07s/it] 42%|████▎ | 17/40 [00:17<00:24, 1.07s/it] 45%|████▌ | 18/40 [00:19<00:23, 1.07s/it] 48%|████▊ | 19/40 [00:20<00:22, 1.07s/it] 50%|█████ | 20/40 [00:21<00:21, 1.07s/it] 52%|█████▎ | 21/40 [00:22<00:20, 1.07s/it] 55%|█████▌ | 22/40 [00:23<00:19, 1.07s/it] 57%|█████▊ | 23/40 [00:24<00:18, 1.07s/it] 60%|██████ | 24/40 [00:25<00:17, 1.07s/it] 62%|██████▎ | 25/40 [00:26<00:16, 1.07s/it] 65%|██████▌ | 26/40 [00:27<00:14, 1.07s/it] 68%|██████▊ | 27/40 [00:28<00:13, 1.07s/it] 70%|███████ | 28/40 [00:29<00:12, 1.07s/it] 72%|███████▎ | 29/40 [00:30<00:11, 1.07s/it] 75%|███████▌ | 30/40 [00:31<00:10, 1.07s/it] 78%|███████▊ | 31/40 [00:32<00:09, 1.07s/it] 80%|████████ | 32/40 [00:34<00:08, 1.07s/it] 82%|████████▎ | 33/40 [00:35<00:07, 1.07s/it] 85%|████████▌ | 34/40 [00:36<00:06, 1.07s/it] 88%|████████▊ | 35/40 [00:37<00:05, 1.07s/it] 90%|█████████ | 36/40 [00:38<00:04, 1.07s/it] 92%|█████████▎| 37/40 [00:39<00:03, 1.07s/it] 95%|█████████▌| 38/40 [00:40<00:02, 1.07s/it] 98%|█████████▊| 39/40 [00:41<00:01, 1.07s/it] 100%|██████████| 40/40 [00:42<00:00, 1.07s/it] 100%|██████████| 40/40 [00:42<00:00, 1.06s/it] Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed. NSFW content detected in image 0 NSFW content detected in image 1 NSFW content detected in image 3
Version Details
- Version ID
9f4377c65bab44b1e9e5be417b4fe152518a06b3ef08743205cc68716a174091- Version Created
- September 4, 2024