callmejz-ai/doodle 🖼️🔢📝❓✓ → 🖼️

▶️ 574 runs 📅 Oct 2024 ⚙️ Cog 0.9.5
image-inpainting image-to-image line-art text-to-image

About

Doodles trained on black line drawings, fashion illustrations, and wire sculptures. Simple images for complex intellectuals, luxury brands, b2b marketing, saas..

Example Output

Prompt:

"flower"

Output

Example output

Performance Metrics

21.65s Prediction Time
28.78s Total Time
All Input Parameters
{
  "width": 1024,
  "height": 1024,
  "prompt": "flower",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": true,
  "high_noise_frac": 0.8,
  "negative_prompt": "",
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}
Input Parameters
mask Type: string
Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
seed Type: integer
Random seed. Leave blank to randomize the seed
image Type: string
Input image for img2img or inpaint mode
width Type: integerDefault: 1024
Width of output image
height Type: integerDefault: 1024
Height of output image
prompt Type: stringDefault: An astronaut riding a rainbow unicorn
Input prompt
refine Default: no_refiner
Which refine style to use
scheduler Default: K_EULER
scheduler
lora_scale Type: numberDefault: 0.6Range: 0 - 1
LoRA additive scale. Only applicable on trained models.
num_outputs Type: integerDefault: 1Range: 1 - 4
Number of images to output.
refine_steps Type: integer
For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
guidance_scale Type: numberDefault: 7.5Range: 1 - 50
Scale for classifier-free guidance
apply_watermark Type: booleanDefault: true
Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
high_noise_frac Type: numberDefault: 0.8Range: 0 - 1
For expert_ensemble_refiner, the fraction of noise to use
negative_prompt Type: stringDefault:
Input Negative Prompt
prompt_strength Type: numberDefault: 0.8Range: 0 - 1
Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
replicate_weights Type: string
Replicate LoRA weights to use. Leave blank to use the default weights.
num_inference_steps Type: integerDefault: 50Range: 1 - 500
Number of denoising steps
disable_safety_checker Type: booleanDefault: false
Disable safety checker for generated images. This feature is only available through the API. See [https://replicate.com/docs/how-does-replicate-work#safety](https://replicate.com/docs/how-does-replicate-work#safety)
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using seed: 7047
Ensuring enough disk space...
Free disk space: 1439622897664
Downloading weights: https://replicate.delivery/pbxt/WZoBJcam9jK2OtB0Loes20TaJNuR8C87mhikU4gLnbTU7M1JA/trained_model.tar
2024-10-25T21:09:27Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/b9e40f01def7cc54 url=https://replicate.delivery/pbxt/WZoBJcam9jK2OtB0Loes20TaJNuR8C87mhikU4gLnbTU7M1JA/trained_model.tar
2024-10-25T21:09:32Z | INFO  | [ Complete ] dest=/src/weights-cache/b9e40f01def7cc54 size="186 MB" total_elapsed=4.907s url=https://replicate.delivery/pbxt/WZoBJcam9jK2OtB0Loes20TaJNuR8C87mhikU4gLnbTU7M1JA/trained_model.tar
b''
Downloaded weights in 5.0415003299713135 seconds
Loading fine-tuned model
Does not have Unet. assume we are using LoRA
Loading Unet LoRA
Prompt: flower
txt2img mode
  0%|          | 0/50 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/diffusers/models/attention_processor.py:1946: FutureWarning: `LoRAAttnProcessor2_0` is deprecated and will be removed in version 0.26.0. Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights`
deprecate(
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Version Details
Version ID
b9e155a586824e58f5a5193d65b0992ae5b6e5ef7420c1a967638922c4e103a8
Version Created
October 25, 2024
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