cjwbw/eimis_anime_diffusion 🔢❓📝 → 🖼️

▶️ 13.3K runs 📅 Dec 2022 ⚙️ Cog 0.6.1

anime text-to-image

About

stable-diffusion models for high quality and detailed anime images

Example Output

Prompt:

"(1girl), cute, walking in the park, (night), full moon, north star, blue shirt, red skirt, detailed shirt, jewelry, autumn, dark blue hair, shirt hair, (magic:1.5), beautiful blue eyes"

Output

Performance Metrics

31.39s Prediction Time

31.43s Total Time

All Input Parameters

{
  "width": 512,
  "height": "768",
  "prompt": "(1girl), cute, walking in the park, (night), full moon, north star, blue shirt, red skirt, detailed shirt, jewelry, autumn, dark blue hair, shirt hair, (magic:1.5), beautiful blue eyes",
  "scheduler": "K_EULER_ANCESTRAL",
  "num_outputs": 1,
  "guidance_scale": "9",
  "negative_prompt": "lowres, bad anatomy, ((bad hands)), text, error, ((missing fingers)), cropped, jpeg artifacts, worst quality, low quality, signature, watermark, blurry, deformed, extra ears, deformed, disfigured, mutation, censored, ((multiple_girls))",
  "num_inference_steps": "35"
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
width Default: 512: Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height Default: 512: Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
prompt Type: stringDefault: a girl, Phoenix girl, fluffy hair, war, a hell on earth, Beautiful and detailed explosion, Cold machine, Fire in eyes, burning, Metal texture, Exquisite cloth, Metal carving, volume, best quality, normal hands, Metal details, Metal scratch, Metal defects, masterpiece, best quality, best quality, illustration, highres, masterpiece, contour deepening, illustration,(beautiful detailed girl),beautiful detailed glow: Input prompt
scheduler Default: DPMSolverMultistep: Choose a scheduler.
num_outputs Default: 1: Number of images to output
guidance_scale Type: numberDefault: 8Range: 1 - 20: Scale for classifier-free guidance
negative_prompt Type: string: The prompt or prompts not to guide the image generation (what you do not want to see in the generation). Ignored when not using guidance.
num_inference_steps Type: integerDefault: 20Range: 1 - 500: Number of denoising steps

Output Schema

Output

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

Example Execution Logs

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Version Details

Version ID: a409b0769c91cfb3ecfa61698babd73ae34aee400f7894b1f02d28526631ec97
Version Created: December 31, 2022

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