Return json

This commit is contained in:
JeLuF 2023-08-09 16:56:10 +02:00
parent 01dde9d23a
commit e3026967ab

View File

@ -105,12 +105,13 @@ def init():
def get_all_images(db: Session = Depends(get_db)):
from easydiffusion.easydb.mappings import Image
images = db.query(Image).all()
sum_string = "<div id='imagecontainer'>"
for img in images:
options = f"Path: {img.path}\nPrompt: {img.prompt}\nNegative Prompt: {img.negative_prompt}\nSeed: {img.seed}\nModel: {img.use_stable_diffusion_model}\nSize: {img.height}x{img.width}\nSampler: {img.sampler_name}\nSteps: {img.num_inference_steps}\nGuidance Scale: {img.guidance_scale}\nLoRA: {img.lora}\nUpscaling: {img.use_upscale}\nFace Correction: {img.use_face_correction}\n"
sum_string += f"<img src='/image/{img.path}' title='{options}'>"
sum_string += "</div>"
return Response(content=sum_string, media_type="text/html")
# sum_string = "<div id='imagecontainer'>"
# for img in images:
# options = f"Path: {img.path}\nPrompt: {img.prompt}\nNegative Prompt: {img.negative_prompt}\nSeed: {img.seed}\nModel: {img.use_stable_diffusion_model}\nSize: {img.height}x{img.width}\nSampler: {img.sampler_name}\nSteps: {img.num_inference_steps}\nGuidance Scale: {img.guidance_scale}\nLoRA: {img.lora}\nUpscaling: {img.use_upscale}\nFace Correction: {img.use_face_correction}\n"
# sum_string += f"<img src='/image/{img.path}' title='{options}'>"
# sum_string += "</div>"
# return Response(content=sum_string, media_type="text/html")
return images
def get_filename_from_url(url):