underthestar2021/hello_flat_anime ๐๐ขโ๐ผ๏ธโ โ ๐ผ๏ธ
About

Example Output
Prompt:
"<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties"
Output




Performance Metrics
38.78s
Prediction Time
38.72s
Total Time
All Input Parameters
{ "seed": 3747631758, "prompt": "<lora:h4l0w3n5l0w5tyl3M3rg34ll:1> h4l0w3n5l0w5tyl3M3rg34ll Ties", "ai_random": "ai_random", "clip_skip": 2, "pipe_type": "img2img", "scheduler": "DPM++ 2M Karras", "face_image": "https://replicate.delivery/pbxt/JlQyDPLX5e6UF1Vcrkvzs4hetGUZNyeu8KNSyH9GtYBVkM0M/replicate-prediction-7iu7ywbcgvfxcpsznjondiybra.png", "num_outputs": 4, "resize_mode": "fill", "target_width": 512, "target_height": 720, "callback_steps": 4, "guidance_scale": 5, "controlnet_type": "canny", "negative_prompt": "(worst quality:1.4), (low quality:1.4), (normal quality:1.4), ((female pubic hair:1.3)), lowres,beast,bestiality,", "prompt_strength": 0.62, "show_system_info": false, "swap_face_enable": false, "controlnet_enable": false, "face_editor_enable": false, "canny_low_threshold": 100, "codeformer_fidelity": 0.7, "num_inference_steps": 26, "restore_face_enable": false, "canny_high_threshold": 200, "control_guidance_end": 1, "firebase_api_version": 4, "lora_model_extra_url": "https://civitai.com/models/174065?modelVersionId=195436", "restore_face_upscale": 1, "cross_attention_scale": 1, "face_editor_mask_blur": 12, "face_editor_mask_size": 6, "face_editor_strength1": 0.4, "face_editor_strength2": 0.05, "restore_face_upsample": true, "control_guidance_start": 0, "face_editor_confidence": 0.97, "controlnet_conditioning_scale": 0.73, "restore_face_background_enhance": true }
Input Parameters
- uid
- Unique identifier for this run. Will be used in callback.
- seed
- Random seed. Leave blank to randomize the seed
- prompt
- Input prompt
- remark
- ๅคๆณจ้กน๏ผ้ไพฟๅกซ
- task_id
- Task ID for this run. Will be used in callback.
- ai_random
- random seed
- clip_skip
- pipe_type
- ็ปๅพ็ฑปๅ๏ผๆ็ๅพ่ฟๆฏๅพ็ๅพใไธๅฏไปฅ้็ฉบ
- scheduler
- Choose a scheduler.
- face_image
- Input face image
- lora_model
- num_outputs
- Number of images to output.
- resize_mode
- fill - The image is resized to fill the given dimension. cover - The image keeps its aspect ratio and fills the given dimension. The image will be clipped to fit. crop - The image keeps its aspect ratio and scales to the target size.
- target_width
- Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- target_height
- Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
- callback_steps
- Callback URL for this run.
- guidance_scale
- Scale for classifier-free guidance
- controlnet_type
- negative_prompt
- Specify things to not see in the output
- prompt_strength
- Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
- show_system_info
- Show system info
- swap_face_enable
- ๆฏๅฆไฝฟ็จswap_face(roop็ๆข่ธๅ่ฝ),้ป่ฎคTrue
- complete_callback
- Complete callback URL for this run.
- controlnet_enable
- ๆฏๅฆๅฏ็จControlnet
- face_editor_enable
- ๆฏๅฆไฝฟ็จface editor,้ป่ฎคFalse
- canny_low_threshold
- Canny line detection low threshold
- codeformer_fidelity
- Codeformer fidelity
- num_inference_steps
- Number of denoising steps
- on_process_callback
- Process callback URL for this .
- restore_face_enable
- ๆฏๅฆไฝฟ็จrestore_face,้ป่ฎคTrue
- canny_high_threshold
- Canny line detection high threshold
- control_guidance_end
- The percentage of total steps at which the controlnet stops applying
- firebase_api_version
- api version
- lora_model_extra_url
- ๆต่ฏloraๆถไฝฟ็จ๏ผloraๆจกๅ็ไธ่ฝฝๅฐๅ๏ผๅฆๆๅกซๅไผๅค็ๆlora_modelๅๆฐ
- restore_face_upscale
- Restore face upscaling
- cross_attention_scale
- loraๆ้๏ผๅบ้ด0-1. A scale value of 0 is the same as not using your LoRA weights and youโre only using the base model weights, and a scale value of 1 means youโre only using the fully fine-tuned LoRA weights.
- face_editor_mask_blur
- Face editor mask blur
- face_editor_mask_size
- Face editor mask size
- face_editor_strength1
- Step 0.05, face editor, denoising strength for face images, sdwebui:(3) Recreate the Faces
- face_editor_strength2
- Step 0.05, face editor, denoising strength for the entire image, sdwebui:(5) Blend the entire image
- restore_face_upsample
- Restore face upsampling
- control_guidance_start
- The percentage of total steps at which the controlnet starts applying
- face_editor_confidence
- Confidence threshold for face detection. Set a lower value if you want to detect more faces.
- controlnet_conditioning_scale
- Control Weight
- restore_face_background_enhance
- Restore face background enhance
Output Schema
Output
Example Execution Logs
Using seed: 3747631758 Loading another pipe:img2img You have disabled the safety checker for <class 'diffusers.pipelines.controlnet.pipeline_controlnet_img2img.StableDiffusionControlNetImg2ImgPipeline'> by passing `safety_checker=None`. Ensure that you abide to the conditions of the Stable Diffusion license and do not expose unfiltered results in services or applications open to the public. Both the diffusers team and Hugging Face strongly recommend to keep the safety filter enabled in all public facing circumstances, disabling it only for use-cases that involve analyzing network behavior or auditing its results. For more information, please have a look at https://github.com/huggingface/diffusers/pull/254 . Pipe loaded: img2img Safety checker disabled: True check cf info check cf info took 208 ms Model 15a211a879ef38a34c0cf4fa9e6b8baf0507c216 already exists, skip downloading. Using LoRA model: 15a211a879ef38a34c0cf4fa9e6b8baf0507c216:1.0 Input image size: 512x720 0%| | 0/16 [00:00<?, ?it/s] 6%|โ | 1/16 [00:00<00:05, 2.91it/s] 12%|โโ | 2/16 [00:00<00:04, 2.92it/s] 19%|โโ | 3/16 [00:01<00:04, 2.91it/s] 25%|โโโ | 4/16 [00:01<00:04, 2.91it/s] 31%|โโโโ | 5/16 [00:01<00:03, 2.93it/s] 38%|โโโโ | 6/16 [00:02<00:03, 2.91it/s] 44%|โโโโโ | 7/16 [00:02<00:03, 2.91it/s] 50%|โโโโโ | 8/16 [00:02<00:02, 2.92it/s] 56%|โโโโโโ | 9/16 [00:03<00:02, 2.90it/s] 62%|โโโโโโโ | 10/16 [00:03<00:02, 2.90it/s] 69%|โโโโโโโ | 11/16 [00:03<00:01, 2.90it/s] 75%|โโโโโโโโ | 12/16 [00:04<00:01, 2.90it/s] 81%|โโโโโโโโโ | 13/16 [00:04<00:01, 2.90it/s] 88%|โโโโโโโโโ | 14/16 [00:04<00:00, 2.90it/s] 94%|โโโโโโโโโโ| 15/16 [00:05<00:00, 2.90it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.90it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.90it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|โ | 1/16 [00:00<00:05, 2.88it/s] 12%|โโ | 2/16 [00:00<00:04, 2.87it/s] 19%|โโ | 3/16 [00:01<00:04, 2.87it/s] 25%|โโโ | 4/16 [00:01<00:04, 2.89it/s] 31%|โโโโ | 5/16 [00:01<00:03, 2.89it/s] 38%|โโโโ | 6/16 [00:02<00:03, 2.88it/s] 44%|โโโโโ | 7/16 [00:02<00:03, 2.88it/s] 50%|โโโโโ | 8/16 [00:02<00:02, 2.88it/s] 56%|โโโโโโ | 9/16 [00:03<00:02, 2.87it/s] 62%|โโโโโโโ | 10/16 [00:03<00:02, 2.88it/s] 69%|โโโโโโโ | 11/16 [00:03<00:01, 2.88it/s] 75%|โโโโโโโโ | 12/16 [00:04<00:01, 2.87it/s] 81%|โโโโโโโโโ | 13/16 [00:04<00:01, 2.87it/s] 88%|โโโโโโโโโ | 14/16 [00:04<00:00, 2.87it/s] 94%|โโโโโโโโโโ| 15/16 [00:05<00:00, 2.87it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.87it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.87it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|โ | 1/16 [00:00<00:05, 2.85it/s] 12%|โโ | 2/16 [00:00<00:04, 2.84it/s] 19%|โโ | 3/16 [00:01<00:04, 2.84it/s] 25%|โโโ | 4/16 [00:01<00:04, 2.85it/s] 31%|โโโโ | 5/16 [00:01<00:03, 2.83it/s] 38%|โโโโ | 6/16 [00:02<00:03, 2.84it/s] 44%|โโโโโ | 7/16 [00:02<00:03, 2.84it/s] 50%|โโโโโ | 8/16 [00:02<00:02, 2.84it/s] 56%|โโโโโโ | 9/16 [00:03<00:02, 2.84it/s] 62%|โโโโโโโ | 10/16 [00:03<00:02, 2.84it/s] 69%|โโโโโโโ | 11/16 [00:03<00:01, 2.84it/s] 75%|โโโโโโโโ | 12/16 [00:04<00:01, 2.84it/s] 81%|โโโโโโโโโ | 13/16 [00:04<00:01, 2.84it/s] 88%|โโโโโโโโโ | 14/16 [00:04<00:00, 2.84it/s] 94%|โโโโโโโโโโ| 15/16 [00:05<00:00, 2.83it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.83it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.84it/s] 0%| | 0/16 [00:00<?, ?it/s] 6%|โ | 1/16 [00:00<00:05, 2.81it/s] 12%|โโ | 2/16 [00:00<00:04, 2.84it/s] 19%|โโ | 3/16 [00:01<00:04, 2.82it/s] 25%|โโโ | 4/16 [00:01<00:04, 2.84it/s] 31%|โโโโ | 5/16 [00:01<00:03, 2.83it/s] 38%|โโโโ | 6/16 [00:02<00:03, 2.83it/s] 44%|โโโโโ | 7/16 [00:02<00:03, 2.82it/s] 50%|โโโโโ | 8/16 [00:02<00:02, 2.83it/s] 56%|โโโโโโ | 9/16 [00:03<00:02, 2.82it/s] 62%|โโโโโโโ | 10/16 [00:03<00:02, 2.83it/s] 69%|โโโโโโโ | 11/16 [00:03<00:01, 2.82it/s] 75%|โโโโโโโโ | 12/16 [00:04<00:01, 2.82it/s] 81%|โโโโโโโโโ | 13/16 [00:04<00:01, 2.81it/s] 88%|โโโโโโโโโ | 14/16 [00:04<00:00, 2.82it/s] 94%|โโโโโโโโโโ| 15/16 [00:05<00:00, 2.81it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.80it/s] 100%|โโโโโโโโโโ| 16/16 [00:05<00:00, 2.82it/s]
Version Details
- Version ID
8fbc4c08853bead6ae124796d01f6a86e02631b400718b051469e6e329e9192b
- Version Created
- November 20, 2023