archiv …-23
Sampling: 0%| Sampling: 90%| running handler... decoding images Using precision: full Global seed set to 6155556 Applying filter gfpgan... forced retinaface.device to cuda:0 enhance with GFPGANv1.3 on cuda:0 precision full Applying filter real_esrgan... enhance with RealESRGAN_x4plus on cuda:0 precision full memory_final = 727.03Mb
session_id: 1670292311255 prompt: cornwall, green coast, british, natural look, hyperdetailed, cinematic, photo relistic, trending on artstation, 8k, high resolution, volumetric light, bokeh negative_prompt: sunset seed: 6155556 num_inference_steps: 25 sampler: euler_a guidance_scale: 7.5 w: 1024 h: 512 precision: autocast save_to_disk_path: E:ki bilder turbo: True use_full_precision: True use_face_correction: GFPGANv1.3 use_upscale: RealESRGAN_x4plus use_stable_diffusion_model: E:stable-diffusion-uistable-diffusionsd-v1-4 use_vae_model: None show_only_filtered_image: True output_format: jpeg stream_progress_updates: True stream_image_progress: False decoding images Using precision: full Global seed set to 6155556 FirstStage: Running in eps-prediction mode making attention of type ‘vanilla’ with 512 in_channels Working with z of shape (1, 4, 32, 32) = 4096 dimensions. making attention of type ‘vanilla’ with 512 in_channels loaded model model file: E:stable-diffusion-uistable-diffusionsd-v1-4.ckpt model.device: cpu modelCS.device: cuda:0 modelFS.device: cpu using precision: autocast Applying filter gfpgan... forced retinaface.device to cuda:0 enhance with GFPGANv1.3 on cuda:0 precision full Applying filter real_esrgan... enhance with RealESRGAN_x4plus on cuda:0 precision full memory_final = 727.03Mb
running handler... decoding images every thing is ready precision full memory_final = now explore 😉