fofr/sdxl-ms-paint 🔢📝❓✓ → 🖼️

▶️ 1.2K runs 📅 Jun 2024 ⚙️ Cog 0.9.7 📄 Paper

cartoon ms-paint text-to-image

About

Make MS Paint images, a lora trained by aimingfail

Example Output

Prompt:

"MSPaint portrait of a dog"

Output

Performance Metrics

10.87s Prediction Time

76.30s Total Time

All Input Parameters

{
  "width": 1024,
  "height": 1024,
  "prompt": "MSPaint portrait of a dog",
  "sampler": "Default",
  "scheduler": "Default",
  "lora_strength": 1,
  "output_format": "webp",
  "output_quality": 80,
  "negative_prompt": "",
  "number_of_images": 1
}

Input Parameters

cfg Type: numberRange: 0 - 20: Advanced. Leave empty to use recommended CFG (classifier free guidance). This changes how much the prompt influences the output. Set it only if you want to customise.
seed Type: integer: Set a seed for reproducibility. Random by default.
steps Type: integerRange: 1 - 50: Advanced. Leave empty to use recommended steps. Set it only if you want to customise the number of steps to run the sampler for.
width Type: integerDefault: 1024
height Type: integerDefault: 1024
prompt Type: stringDefault:
sampler Default: Default: Advanced. Change the sampler used for generation. Default is what we think gives the best images.
scheduler Default: Default: Advanced. Change the scheduler used for generation. Default is what we think gives the best images.
lora_strength Type: numberDefault: 1Range: 0 - 3: Strength of the lora to use for the generation. Default is 1.0.
output_format Default: webp: Format of the output images
output_quality Type: integerDefault: 80Range: 0 - 100: Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
negative_prompt Type: stringDefault:: Things you do not want to see in your image
number_of_images Type: integerDefault: 1Range: 1 - 10: Number of images to generate
disable_safety_checker Type: booleanDefault: false: Disable safety checker for generated images.

Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs

Random seed set to: 2783082920
==============================
Generation settings
Sampler: dpmpp_2m_sde_gpu
Scheduler: karras
Steps: 20
CFG: 7.0
LORA: Using a lora. Lora strength: 1.0
==============================
Running workflow
got prompt
Executing node 4, title: Load Checkpoint, class type: CheckpointLoaderSimple
model_type EPS
Using pytorch attention in VAE
Using pytorch attention in VAE
clip missing: ['clip_l.logit_scale', 'clip_l.transformer.text_projection.weight']
loaded straight to GPU
Requested to load SDXL
Loading 1 new model
Executing node 10, title: Load LoRA, class type: LoraLoader
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Requested to load SDXLClipModel
Loading 1 new model
Executing node 7, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 5, title: Empty Latent Image, class type: EmptyLatentImage
Executing node 3, title: KSampler, class type: KSampler
Requested to load SDXL
Loading 1 new model
  0%|          | 0/20 [00:00<?, ?it/s]/root/.pyenv/versions/3.10.6/lib/python3.10/site-packages/torchsde/_brownian/brownian_interval.py:608: UserWarning: Should have tb<=t1 but got tb=14.614643096923828 and t1=14.614643.
warnings.warn(f"Should have {tb_name}<=t1 but got {tb_name}={tb} and t1={self._end}.")
  5%|▌         | 1/20 [00:00<00:11,  1.61it/s]
 10%|█         | 2/20 [00:00<00:06,  2.70it/s]
 15%|█▌        | 3/20 [00:01<00:04,  3.46it/s]
 20%|██        | 4/20 [00:01<00:04,  3.99it/s]
 25%|██▌       | 5/20 [00:01<00:03,  4.36it/s]
 30%|███       | 6/20 [00:01<00:03,  4.61it/s]
 35%|███▌      | 7/20 [00:01<00:02,  4.79it/s]
 40%|████      | 8/20 [00:01<00:02,  4.90it/s]
 45%|████▌     | 9/20 [00:02<00:02,  4.99it/s]
 50%|█████     | 10/20 [00:02<00:01,  5.05it/s]
 55%|█████▌    | 11/20 [00:02<00:01,  5.10it/s]
 60%|██████    | 12/20 [00:02<00:01,  5.14it/s]
 65%|██████▌   | 13/20 [00:02<00:01,  5.15it/s]
 70%|███████   | 14/20 [00:03<00:01,  5.17it/s]
 75%|███████▌  | 15/20 [00:03<00:00,  5.17it/s]
 80%|████████  | 16/20 [00:03<00:00,  5.18it/s]
 85%|████████▌ | 17/20 [00:03<00:00,  5.19it/s]
 90%|█████████ | 18/20 [00:03<00:00,  5.20it/s]
 95%|█████████▌| 19/20 [00:04<00:00,  5.24it/s]
100%|██████████| 20/20 [00:04<00:00,  5.26it/s]
100%|██████████| 20/20 [00:04<00:00,  4.69it/s]
Requested to load AutoencoderKL
Loading 1 new model
Executing node 8, title: VAE Decode, class type: VAEDecode
Executing node 9, title: Save Image, class type: SaveImage
Prompt executed in 8.21 seconds
outputs:  {'9': {'images': [{'filename': 'R8__00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
R8__00001_.png

Version Details

Version ID: 8e36d00024aa9a55c7d8ef0f82ccd82ab4d3225d1e702149179498258177ca3f
Version Created: June 8, 2024

Run on Replicate →