Api for ideaogram

[KINGLIFER]

(https://ideogram.ai/) Flux is nice but... it seems ideogram is better from the tests I have done.

Would love to use the api in comfyui

[KINGLIFER]

https://ideogram.ai/manage-api

[KINGLIFER]

Also if loras could be added for Fal

[BetaDoggo]

I'm sorry but the ideogram API pricing is too much for me to add support. The mandatory $40 initial topup is outrageous and probably explains why no one else supports their API. The here's a quick (completely untested) node which you could use as a starting point:

class IdeogramT2IAPI:
    @classmethod
    def INPUT_TYPES(cls):
        current_dir = os.path.dirname(os.path.abspath(__file__))
        api_keys = [f for f in os.listdir(os.path.join(current_dir, "keys")) if f.endswith('.txt')]
        return {
            "required": {
                "positive_prompt": ("STRING", {"multiline": True}),
                "negative_prompt": ("STRING", {"multiline": True}),
                "model": (["V_1", "V_1_TURBO", "V_2", "V_2_TURBO",],),
                "aspect_ratio": (["1:1", "3:4", "4:3", "2:3", "3:2", "3:1", "1:3", "16:9", "9:16", "16:10", "10:16",],),
                "magic_prompt": (["AUTO", "ON", "OFF",],),
                "v_2_style": (["", "GENERAL", "REALISTIC", "DESIGN", "RENDER_3D", "ANIME",],),
                "seed": ("INT", {"default": 1337, "min": 0, "max": 2147483647}),
                "api_key": (api_keys,),
            },
        }
    RETURN_TYPES = ("IMAGE",)
    FUNCTION = "generate_image"
    CATEGORY = "ComfyCloudAPIs"
    def generate_image(self, positive_prompt, negative_prompt, model, aspect_ratio, magic_prompt, v_2_style, seed, api_key,):
        #Set api key
        current_dir = os.path.dirname(os.path.abspath(__file__))
        with open(os.path.join(os.path.join(current_dir, "keys"), api_key), 'r', encoding='utf-8') as file:
            key = file.read()
        ar_list = {
            "1:1": "ASPECT_1_1", 
            "3:4": "ASPECT_4_3", 
            "4:3": "ASPECT_4_3", 
            "2:3": "ASPECT_2_3", 
            "3:2": "ASPECT_3_2", 
            "3:1": "ASPECT_3_1", 
            "1:3": "ASPECT_1_3", 
            "16:9": "ASPECT_16_9", 
            "9:16": "ASPECT_9_16", 
            "16:10": "ASPECT_16_10", 
            "10:16": "ASPECT_10_16",
        }
        ar = ar_list.get(aspect_ratio, "ASPECT_1_1")
        payload = {
            "image_request": {
                "prompt": positive_prompt,
                "negative_prompt": negative_prompt,
                "seed": seed,
                "model": model,
                "magic_prompt_option": magic_prompt,
                "style_type": v_2_style,
                "aspect_ratio": ar,
            }
        }
        headers = {
            "accept": "application/json",
            "content-type": "application/json",
            "Api-Key": key,
        }
        response = requests.post("https://api.ideogram.ai/generate", json=payload, headers=headers)
        response = response.json()
        image_url = response['data'][0]['url']
        #Download the image
        response = requests.get(image_url)
        image = Image.open(io.BytesIO(response.content))
        #make image more comfy
        image = np.array(image).astype(np.float32) / 255.0
        output_image = torch.from_numpy(image)[None,]
        return (output_image,)

[BetaDoggo]

Also Fal loras are now supported: The image input is optional, you can add multiple loras by chaining together addlora nodes.

[KINGLIFER]

I was not aware of that and I apologize.

[BetaDoggo]

Nothing to apologize for, Ideogram support would have been neat, and they don't disclose their credit structure upfront.