---
language: en
license: mit
tags:
  - candy-ai
  - text-to-video
  - animation
  - stable-diffusion
pipeline_tag: text-to-video
model-index:
  - name: CandyCrushAI
    results:
      - task:
          type: text-to-video
          name: candy animation generation
        metrics:
          - type: accuracy
            value: 0.92
          - type: fid_score
            value: 18.5
          - type: clip_score
            value: 0.85
datasets:
  - candy_crush_dataset
base_model: "runwayml/stable-diffusion-v1-5"
library_name: transformers

training_config:
  architecture:
    base_model: "runwayml/stable-diffusion-v1-5"
    lora_r: 32
    lora_alpha: 64
    lora_dropout: 0.1
    num_epochs: 5
    gradient_accumulation_steps: 16

  training_params:
    batch_size: 4
    learning_rate: 2e-5
    warmup_steps: 100
    max_grad_norm: 0.3

  generation_params:
    num_inference_steps: 50
    guidance_scale: 7.5
    frame_rate: 24

inference_config:
  max_frames: 120
  resolution: 512
  fps: 24
  optimization_level: "premium"
  
widget:
  - text: "Generate candy animation"
    example_input: "colorful candy explosion with rainbow sparkles"
---