jinchanz/sticker 🔢📝✓ → 🖼️

▶️ 1.5K runs 📅 Apr 2024 ⚙️ Cog 0.9.5 🔗 GitHub ⚖️ License
sticker-generation text-to-image

About

sticker maker fork from fofr

Example Output

Prompt:

"a cute cat"

Output

Example outputExample output

Performance Metrics

49.40s Prediction Time
143.09s Total Time
All Input Parameters 
{
  "steps": 20,
  "width": 1024,
  "height": 1024,
  "prompt": "a cute cat",
  "upscale": true,
  "upscale_steps": 10,
  "negative_prompt": ""
}
Input Parameters
seed Type: integer
Fix the random seed for reproducibility
steps Type: integerDefault: 20
width Type: integerDefault: 1024
height Type: integerDefault: 1024
prompt Type: stringDefault: a cute cat
upscale Type: booleanDefault: true
2x upscale the sticker
upscale_steps Type: integerDefault: 10
Number of steps to upscale
negative_prompt Type: stringDefault:
Things you do not want in the image
Output Schema

Output

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

Example Execution Logs 
Random seed set to: 817509575
Checking inputs
====================================
Checking weights
✅ albedobaseXL_v13.safetensors
✅ dreamshaper_8.safetensors
✅ artificialguybr/StickersRedmond.safetensors
✅ 4x-AnimeSharp.pth
✅ RMBG-1.4/model.pth
====================================
Running workflow
got prompt
Executing node 3, title: LoRA Stacker, class type: LoRA Stacker
Executing node 2, title: Efficient Loader, class type: Efficient Loader
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']
Requested to load SDXLClipModel
Loading 1 new model
----------------------------------------
Efficient Loader Models Cache:
Ckpt:
[1] albedobaseXL_v13
Lora:
[1] base_ckpt: albedobaseXL_v13
lora(mod,clip): StickersRedmond(1,1)
Executing node 4, title: KSampler (Efficient), class type: KSampler (Efficient)
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 12, 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']
Executing node 13, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Requested to load SD1ClipModel
Loading 1 new model
Executing node 14, title: CLIP Text Encode (Prompt), class type: CLIPTextEncode
Executing node 15, title: Load Upscale Model, class type: UpscaleModelLoader
Executing node 11, title: Ultimate SD Upscale, class type: UltimateSDUpscale
Canva size: 2048x2048
Image size: 1024x1024
Scale factor: 2
Upscaling iteration 1 with scale factor 2
Tile size: 512x512
Tiles amount: 16
Grid: 4x4
Redraw enabled: True
Seams fix mode: NONE
Requested to load AutoencoderKL
Loading 1 new model
Requested to load BaseModel
Loading 1 new model
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Executing node 16, title: Save Image, class type: SaveImage
Executing node 8, title: 🧹BRIA_RMBG Model Loader, class type: BRIA_RMBG_ModelLoader_Zho
Executing node 17, title: 🧹BRIA RMBG, class type: BRIA_RMBG_Zho
Executing node 18, title: Save Image, class type: SaveImage
Prompt executed in 47.99 seconds
outputs:  {'4': {'images': [{'filename': 'ComfyUI_temp_fpbon_00001_.png', 'subfolder': '', 'type': 'temp'}]}, '16': {'images': [{'filename': 'ComfyUI_00001_.png', 'subfolder': '', 'type': 'output'}]}, '18': {'images': [{'filename': 'ComfyUI_00002_.png', 'subfolder': '', 'type': 'output'}]}}
====================================
Contents of /tmp/outputs:
ComfyUI_00001_.png
ComfyUI_00002_.png
Version Details
Version ID
570f683064a45e30c61fdbb98cd697fc561df9b1c21554c71267d99e020f08b5
Version Created
April 6, 2024
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