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Enable using Stable Diffusion 3 for Image Generation via API
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parent
d6fe5d9a63
commit
eda33e092f
3 changed files with 54 additions and 9 deletions
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@ -0,0 +1,24 @@
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# Generated by Django 4.2.11 on 2024-06-20 19:02
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from django.db import migrations, models
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class Migration(migrations.Migration):
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dependencies = [
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("database", "0047_alter_entry_file_type"),
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]
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operations = [
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migrations.AddField(
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model_name="texttoimagemodelconfig",
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name="api_key",
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field=models.CharField(blank=True, default=None, max_length=200, null=True),
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),
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migrations.AlterField(
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model_name="texttoimagemodelconfig",
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name="model_type",
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field=models.CharField(
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choices=[("openai", "Openai"), ("stability-ai", "Stabilityai")], default="openai", max_length=200
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),
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),
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]
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@ -234,9 +234,11 @@ class SearchModelConfig(BaseModel):
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class TextToImageModelConfig(BaseModel):
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class ModelType(models.TextChoices):
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OPENAI = "openai"
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STABILITYAI = "stability-ai"
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model_name = models.CharField(max_length=200, default="dall-e-3")
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model_type = models.CharField(max_length=200, choices=ModelType.choices, default=ModelType.OPENAI)
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api_key = models.CharField(max_length=200, default=None, null=True, blank=True)
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class SpeechToTextModelOptions(BaseModel):
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@ -753,7 +753,7 @@ async def text_to_image(
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status_code = 501
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message = "Failed to generate image. Setup image generation on the server."
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return image_url or image, status_code, message, intent_type.value
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elif state.openai_client and text_to_image_config.model_type == TextToImageModelConfig.ModelType.OPENAI:
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elif state.openai_client:
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logger.info("Generating image with OpenAI")
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text2image_model = text_to_image_config.model_name
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chat_history = ""
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@ -775,17 +775,36 @@ async def text_to_image(
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note_references=references,
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online_results=online_results,
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)
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with timer("Generate image with OpenAI", logger):
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if send_status_func:
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await send_status_func(f"**🖼️ Painting using Enhanced Prompt**:\n{improved_image_prompt}")
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if text_to_image_config.model_type == TextToImageModelConfig.ModelType.OPENAI:
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with timer("Generate image with OpenAI", logger):
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response = state.openai_client.images.generate(
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prompt=improved_image_prompt, model=text2image_model, response_format="b64_json"
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)
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image = response.data[0].b64_json
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decoded_image = base64.b64decode(image)
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elif text_to_image_config.model_type == TextToImageModelConfig.ModelType.STABILITYAI:
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with timer("Generate image with Stability AI", logger):
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response = requests.post(
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f"https://api.stability.ai/v2beta/stable-image/generate/sd3",
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headers={"authorization": f"Bearer {text_to_image_config.api_key}", "accept": "image/*"},
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files={"none": ""},
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data={
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"prompt": improved_image_prompt,
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"model": text2image_model,
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"mode": "text-to-image",
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"output_format": "png",
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"seed": 1032622926,
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"aspect_ratio": "1:1",
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},
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)
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decoded_image = response.content
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with timer("Convert image to webp", logger):
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# Convert png to webp for faster loading
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decoded_image = base64.b64decode(image)
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image_io = io.BytesIO(decoded_image)
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png_image = Image.open(image_io)
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webp_image_io = io.BytesIO()
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