aramintak/soft-pastel-anime 🔢📝❓✓ → 🖼️

▶️ 189 runs 📅 Jun 2024 ⚙️ Cog 0.9.7 📄 Paper

anime text-to-image

About

Stylized sketch anime model that has a bit of a watercolor undertone to it

Example Output

Prompt:

"a man with dark hair"

Output

Performance Metrics

10.31s Prediction Time

99.92s Total Time

All Input Parameters

{
  "width": 1024,
  "height": 1024,
  "prompt": "a man with dark hair",
  "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: 3873222763
==============================
Generation settings
Sampler: dpmpp_2m_sde_gpu
Scheduler: karras
Steps: 20
CFG: 6.5
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
Requested to load SDXLClipModel
Loading 1 new model
Executing node 6, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
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
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warnings.warn(f"Should have {tb_name}<=t1 but got {tb_name}={tb} and t1={self._end}.")
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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 8.27 seconds
outputs:  {'9': {'images': [{'filename': 'R8__00001_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
R8__00001_.png

Version Details

Version ID: 0a1e2ea202578fbb1bf398a0e730b18bc61a47a913276bc59cc7ff3038ca678a
Version Created: June 8, 2024

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