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yxjiang merged 3 commits into from
Aug 7, 2025
Merged

Add video regen pipeline #112

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dc100e7
Add video regen pipeline
yxjiang Aug 7, 2025
80edc2b
update
yxjiang Aug 7, 2025
f42ac9d
update
yxjiang Aug 7, 2025
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174 changes: 94 additions & 80 deletions examples/media-gen/tools/replicate_image_gen.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,12 +46,12 @@ def __init__(self, model: str = "prunaai/wan-2.2-image", **kwargs):

def run(self, input: dict) -> dict:
"""
Generate an image using Replicate API.
Generate images using Replicate API.

Args:
input (dict): Input parameters containing:
- prompt: Text description of the desired image
- output_folder: Folder path where to save the image (optional, default: "~/Downloads")
- prompt: Text description(s) of the desired image(s) - can be string or list
- output_folder: Folder path where to save the image(s) (optional, default: "~/Downloads")
- seed: Random seed for reproducible results (optional)
- aspect_ratio: Image aspect ratio (optional, default: "4:3")
- output_format: Output format (optional, default: "jpeg")
Expand All @@ -60,8 +60,8 @@ def run(self, input: dict) -> dict:

Returns:
dict: Dictionary containing:
- image_path: Path to the generated image file
- generation_info: Generation metadata
- generated_image_paths: List of paths to generated image files
- image_generation_info: List of generation metadata for each image
"""
# Extract parameters with defaults
prompt = input.get("prompt", "")
Expand All @@ -72,100 +72,114 @@ def run(self, input: dict) -> dict:
quality = input.get("quality", 80)
model = input.get("model", self._model)

# Generate dynamic image name with timestamp to avoid duplication
import os
from datetime import datetime
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
base_name = f"replicate_generated_image_{timestamp}"
image_name = f"{base_name}.{output_format}"
# Handle both single prompt and list of prompts
if isinstance(prompt, str):
prompts = [prompt]
elif isinstance(prompt, list):
prompts = prompt
else:
raise ValueError("Prompt must be a string or list of strings")

# Ensure unique filename
counter = 1
full_path = f"{output_folder.rstrip('/')}/{image_name}"
while os.path.exists(full_path):
image_name = f"{base_name}_{counter}.{output_format}"
full_path = f"{output_folder.rstrip('/')}/{image_name}"
counter += 1
generated_images = []
generation_info = []

# Create full path
image_path = f"{output_folder.rstrip('/')}/{image_name}"

# Prepare input for Replicate
replicate_input = {
"prompt": prompt,
"aspect_ratio": aspect_ratio,
"quality": quality
}

# Add seed if provided
if seed is not None:
replicate_input["seed"] = seed

# Generate image using Replicate API
try:
# Ensure directory exists
output_path = Path(image_path)
output_path.parent.mkdir(parents=True, exist_ok=True)

# Run the model
output = replicate.run(model, input=replicate_input)

# Handle different output types from Replicate
if hasattr(output, 'read'):
# Output is a FileOutput object
with open(image_path, "wb") as file:
file.write(output.read())
# Process each prompt
for i, single_prompt in enumerate(prompts):
try:
# Generate dynamic image name with timestamp to avoid duplication
import os
from datetime import datetime
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
base_name = f"replicate_generated_image_{timestamp}_{i+1}"
image_name = f"{base_name}.{output_format}"

# Ensure unique filename
counter = 1
full_path = f"{output_folder.rstrip('/')}/{image_name}"
while os.path.exists(full_path):
image_name = f"{base_name}_{counter}.{output_format}"
full_path = f"{output_folder.rstrip('/')}/{image_name}"
counter += 1

# Create full path
image_path = f"{output_folder.rstrip('/')}/{image_name}"

# Prepare input for Replicate
replicate_input = {
"prompt": single_prompt,
"aspect_ratio": aspect_ratio,
"quality": quality
}

# Add seed if provided
if seed is not None:
replicate_input["seed"] = seed

return {
"image_path": image_path,
"generation_info": {
# Ensure directory exists
output_path = Path(image_path)
output_path.parent.mkdir(parents=True, exist_ok=True)

# Run the model
output = replicate.run(model, input=replicate_input)

# Handle different output types from Replicate
if hasattr(output, 'read'):
# Output is a FileOutput object
with open(image_path, "wb") as file:
file.write(output.read())

generated_images.append(image_path)
generation_info.append({
"model": model,
"prompt": prompt,
"prompt": single_prompt,
"seed": seed,
"aspect_ratio": aspect_ratio,
"format": output_format,
"status": "generated successfully",
"replicate_url": None
}
}
elif isinstance(output, list) and len(output) > 0:
# Output is a list of URLs
image_url = output[0]
import requests
})
elif isinstance(output, list) and len(output) > 0:
# Output is a list of URLs
image_url = output[0]
import requests

# Download the image
response = requests.get(image_url)
response.raise_for_status()

# Save the image
with open(image_path, "wb") as file:
file.write(response.content)

return {
"image_path": image_path,
"generation_info": {
# Download the image
response = requests.get(image_url)
response.raise_for_status()

# Save the image
with open(image_path, "wb") as file:
file.write(response.content)

generated_images.append(image_path)
generation_info.append({
"model": model,
"prompt": prompt,
"prompt": single_prompt,
"seed": seed,
"aspect_ratio": aspect_ratio,
"format": output_format,
"status": "generated successfully",
"replicate_url": image_url
}
}
else:
raise ValueError(f"Unexpected output format from Replicate: {type(output)}")

except Exception as e:
return {
"image_path": "",
"generation_info": {
})
else:
raise ValueError(f"Unexpected output format from Replicate: {type(output)}")
except Exception as e:
# Add empty path and error info for failed generation
generated_images.append("")
generation_info.append({
"model": model,
"prompt": prompt,
"prompt": single_prompt,
"error": str(e),
"status": "generation failed"
}
}
})

return {
"generated_image_paths": generated_images,
"image_generation_info": generation_info
}

async def _execute(self, input: Message) -> Message:
"""
Expand Down
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