Sd V1 5.safetensor

🚀 sd-v1-5

This is a text - to - image model based on Stable Diffusion, which can generate high - quality images according to text prompts.

🚀 Quick Start

The widget section below shows an example of using this model to generate an image. You can input text prompts and set negative prompts to control the generation process.

Widget Example

tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
widget:
- text: >-
    china girl hottie,  fine eyes++,  confident,  super seductive,  super
    alluring creamy,  seductive pose,  brothel,  wet skin,  wet big breasts,  no
    shirt bra ++, 8k portrait of beautiful  with fine hair,  intricate, 
    elegant,  highly detailed,  majestic,  digital photography,  art by artgerm
    and ruan jia and greg rutkowski surreal painting gold butterfly filigree, 
    broken glass,  (masterpiece,  sidelighting,  finely detailed beautiful eyes:
    1.2),  hdr, water magic, corneo_tentacle_sex, feel very enjoy,
  parameters:
    negative_prompt: >-
      (3d,  render CGI,  doll,  painting,  fake,  cartoon,  3d modelling:1.4), 
      (worst quality,  low quality:1.4),  monochrome,  deformed,  malformed, 
      deformed face,  bad teeth,  bad hands,  bad fingers,  bad eyes,  long
      body,  blurry,  duplicate,  cloned,  duplicate body parts,  disfigured, 
      extra limbs,  fused fingers,  extra fingers,  twisted,  distorted, 
      malformed hands,  mutated hands and fingers,  conjoined,  missing limbs, 
      bad anatomy,  bad proportions,  logo,  watermark,  text,  copyright, 
      signatures,  lo-res,  mutated,  mutilated,  artefacts,  gross,  ugly, 
      hand in pocket,  too many fingers on one hand,  conjoined bodies, 
      incomplete fingers,  weird fingernails,  displaced fingernails,  double
      belly-button
  output:
    url: images/pu5PIZeNNONiFvGdYhrhS.png
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null

✨ Features

• Text - to - Image Generation: Generate high - quality images based on text prompts.
• Negative Prompt Control: Use negative prompts to avoid unwanted elements in the generated images.
• Based on Stable Diffusion: Leverage the powerful capabilities of the Stable Diffusion framework.

📦 Installation

No installation steps are provided in the original document, so this section is skipped.

💻 Usage Examples

No specific code examples are provided in the original document, so this section is skipped.

📚 Documentation

Model description

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

🔧 Technical Details

No technical details are provided in the original document, so this section is skipped.

📄 License

No license information is provided in the original document, so this section is skipped.