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---
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"
---
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