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Merged
merged 1 commit into from
Apr 24, 2025
Merged

[pull] master from comfyanonymous:master #14

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46 changes: 27 additions & 19 deletions comfy_api_nodes/nodes_api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,35 +31,43 @@ def downscale_input(image):
s = s.movedim(1,-1)
return s

def validate_and_cast_response (response):
def validate_and_cast_response(response):
# validate raw JSON response
data = response.data
if not data or len(data) == 0:
raise Exception("No images returned from API endpoint")

# Get base64 image data
image_url = data[0].url
b64_data = data[0].b64_json
if not image_url and not b64_data:
raise Exception("No image was generated in the response")
# Initialize list to store image tensors
image_tensors = []

if b64_data:
img_data = base64.b64decode(b64_data)
img = Image.open(io.BytesIO(img_data))
# Process each image in the data array
for image_data in data:
image_url = image_data.url
b64_data = image_data.b64_json

elif image_url:
img_response = requests.get(image_url)
if img_response.status_code != 200:
raise Exception("Failed to download the image")
img = Image.open(io.BytesIO(img_response.content))
if not image_url and not b64_data:
raise Exception("No image was generated in the response")

img = img.convert("RGBA")
if b64_data:
img_data = base64.b64decode(b64_data)
img = Image.open(io.BytesIO(img_data))

# Convert to numpy array, normalize to float32 between 0 and 1
img_array = np.array(img).astype(np.float32) / 255.0
elif image_url:
img_response = requests.get(image_url)
if img_response.status_code != 200:
raise Exception("Failed to download the image")
img = Image.open(io.BytesIO(img_response.content))

# Convert to torch tensor and add batch dimension
return torch.from_numpy(img_array)[None,]
img = img.convert("RGBA")

# Convert to numpy array, normalize to float32 between 0 and 1
img_array = np.array(img).astype(np.float32) / 255.0
img_tensor = torch.from_numpy(img_array)

# Add to list of tensors
image_tensors.append(img_tensor)

return torch.stack(image_tensors, dim=0)

class OpenAIDalle2(ComfyNodeABC):
"""
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