Version: r0.6.2.0-base-v4.3
Input
Output
This example was created by brentlynch
Finished in 206.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: RAW Photography, breathtaking cinematic film still of Maximillian, a giant deadly RED robot with a SINGLE bright glowing RED LED EYE from The Black Hole, terrifying, imposing, whirring blades for hands, evil red eye beam glow, spaceship in background, professional, award-winning, highly detailed, realistic, intricate details, 8k, masterpiece, dynamic play of light, 35mm photograph, kodachrome, dust particles caught in the light, raytracing, RTX, 8K, 4K, HDRI, UHD, extremely detailed, intricately detailed, studio quality, film quality, perfect lighting, perfect shadows, perfect textures, antialiasing, volumetric fog, detailed background, holding gun, photorealistic, lifelike, <lora:add-detail-xl:2.0>, <lora:TLS:0.33>
Full negative prompt: low quality, low resolution, low detail, out of focus, smudged, smeared, unrefined, unfinished, blurry, pixelated, artifacts, compression, JPEG
Loading model: controlnetxlCNXL_tencentarcOpenpose [18cb12c1]
Loaded state_dict from [/tungsten/models/ControlNet/controlnetxlCNXL_tencentarcOpenpose.safetensors]
t2i_adapter_config
ControlNet model controlnetxlCNXL_tencentarcOpenpose [18cb12c1] loaded.
Loading preprocessor: openpose
preprocessor resolution = 512
ControlNet preprocessor location: /tungsten/models/ControlNetAnnotators
Loading model: controlnetxlCNXL_tencentarcDepthMidas [5752dddf]
Loaded state_dict from [/tungsten/models/ControlNet/controlnetxlCNXL_tencentarcDepthMidas.safetensors]
t2i_adapter_config
ControlNet model controlnetxlCNXL_tencentarcDepthMidas [5752dddf] loaded.
Loading preprocessor: depth
preprocessor resolution = 512
Loading preprocessor: reference_only
preprocessor resolution = -1
ControlNet Hooked - Time = 13.266228199005127
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Decoding latents in cuda:0...
done in 2.41s
Move latents to cpu...
done in 0.01s
Uploading outputs...
Finished.
This example was created by brentlynch
Finished in 206.6 seconds
Setting up the model...
Preparing inputs...
Processing...
Loading VAE weight: models/VAE/sdxl_vae.safetensors
Full prompt: RAW Photography, breathtaking cinematic film still of Maximillian, a giant deadly RED robot with a SINGLE bright glowing RED LED EYE from The Black Hole, terrifying, imposing, whirring blades for hands, evil red eye beam glow, spaceship in background, professional, award-winning, highly detailed, realistic, intricate details, 8k, masterpiece, dynamic play of light, 35mm photograph, kodachrome, dust particles caught in the light, raytracing, RTX, 8K, 4K, HDRI, UHD, extremely detailed, intricately detailed, studio quality, film quality, perfect lighting, perfect shadows, perfect textures, antialiasing, volumetric fog, detailed background, holding gun, photorealistic, lifelike, <lora:add-detail-xl:2.0>, <lora:TLS:0.33>
Full negative prompt: low quality, low resolution, low detail, out of focus, smudged, smeared, unrefined, unfinished, blurry, pixelated, artifacts, compression, JPEG
Loading model: controlnetxlCNXL_tencentarcOpenpose [18cb12c1]
Loaded state_dict from [/tungsten/models/ControlNet/controlnetxlCNXL_tencentarcOpenpose.safetensors]
t2i_adapter_config
ControlNet model controlnetxlCNXL_tencentarcOpenpose [18cb12c1] loaded.
Loading preprocessor: openpose
preprocessor resolution = 512
ControlNet preprocessor location: /tungsten/models/ControlNetAnnotators
Loading model: controlnetxlCNXL_tencentarcDepthMidas [5752dddf]
Loaded state_dict from [/tungsten/models/ControlNet/controlnetxlCNXL_tencentarcDepthMidas.safetensors]
t2i_adapter_config
ControlNet model controlnetxlCNXL_tencentarcDepthMidas [5752dddf] loaded.
Loading preprocessor: depth
preprocessor resolution = 512
Loading preprocessor: reference_only
preprocessor resolution = -1
ControlNet Hooked - Time = 13.266228199005127
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Decoding latents in cuda:0...
done in 2.41s
Move latents to cpu...
done in 0.01s
Uploading outputs...
Finished.