Version: v2.0
Input
Output
This example was created by evevalentine2017
Finished in 179.3 seconds
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: cinematic ground view of eschatological landscape of a actual London city, Tamise, harmonious, (bridges:0.4), (waterfalls:1.1), (ultra realistic:1.2), (cables), time tower, intricate engineerings, sinuous river, side, (vegetation:0.4), dark fantasy, night, terraces, , happy life,intricate and detailled sailing ship on departure at quay, plenty of small boats on the river, flags, confettis, holy days, festivities, massive crowds, victorian clothes, messy rail trains, train station, drapery on windows, (full of life:1.2), chimneys, smokes, high resolution, city, view from above, from the ledge, slums, hyper detailled view, intricate city, atmospheric lighting, dark mood, gigantism, ultra large wide angle, full view, great composition, rules of third, organic city , dramatic sky, storm in background,, shallow depth of field, vignette, high budget, bokeh, cinemascope, moody, epic, gorgeous, Every element is rendered in extreme quality, aiming for an ultra-HD 8K resolution level of detail. The cinematic and hyperrealistic style makes it feel like a freeze-frame from a high-budget dark fantasy film. The use of film grain adds a texture that gives the scene a gritty, realistic feel, ((vivid colors))
Full negative prompt: blurry, blurred, amateur, ugly, low quality, sketch, low resolution, warped, crooked, deformed, cartoony, low detail, long street, (rounded architecture:0.5), text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, yellow eyes, arnold signature
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Decoding latents in cuda:0...
done in 5.21s
Move latents to cpu...
done in 0.06s
Uploading outputs...
Finished.
This example was created by evevalentine2017
Finished in 179.3 seconds
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: cinematic ground view of eschatological landscape of a actual London city, Tamise, harmonious, (bridges:0.4), (waterfalls:1.1), (ultra realistic:1.2), (cables), time tower, intricate engineerings, sinuous river, side, (vegetation:0.4), dark fantasy, night, terraces, , happy life,intricate and detailled sailing ship on departure at quay, plenty of small boats on the river, flags, confettis, holy days, festivities, massive crowds, victorian clothes, messy rail trains, train station, drapery on windows, (full of life:1.2), chimneys, smokes, high resolution, city, view from above, from the ledge, slums, hyper detailled view, intricate city, atmospheric lighting, dark mood, gigantism, ultra large wide angle, full view, great composition, rules of third, organic city , dramatic sky, storm in background,, shallow depth of field, vignette, high budget, bokeh, cinemascope, moody, epic, gorgeous, Every element is rendered in extreme quality, aiming for an ultra-HD 8K resolution level of detail. The cinematic and hyperrealistic style makes it feel like a freeze-frame from a high-budget dark fantasy film. The use of film grain adds a texture that gives the scene a gritty, realistic feel, ((vivid colors))
Full negative prompt: blurry, blurred, amateur, ugly, low quality, sketch, low resolution, warped, crooked, deformed, cartoony, low detail, long street, (rounded architecture:0.5), text, watermark, low-quality, signature, moir pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast, yellow eyes, arnold signature
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Decoding latents in cuda:0...
done in 5.21s
Move latents to cpu...
done in 0.06s
Uploading outputs...
Finished.