









The trigger word is 'gwm txxx'.
Supports generating high-resolution images now!
1664×936, 16:9
1280×960, 4:3
1024×1024, 1:1
or other you like
Better scenery and vehicle photography composition.
Better vehicle details.
The problem of word pollution is alleviated.
Recommended params
Sampling method: DPM++ 2M SDE Karras
CFG Scale: 3~5
Checkpoint: Juggernaut XL - V 7 + RunDiffusion | Stable Diffusion Checkpoint | Civitai ( Highly Recommended! )
Prompt:
{your description}, ultra detail, Eye-level product film photography, depth of field, shot on 120mm, shot on Hasselblad, Cross Processing Color grading
{your description}, ultra detail, beautiful, hd, 8k, (photographic:1.5), magnificent, grandiose, macos wallpaper
Negative prompt:
collapse, scatter, out of frame, low-res, text, error, cropped, worst quality, low quality, jpeg artifacts, duplicate, wrong proportions, mutation, deformed, blurry, bad ???????, bad proportions, username, watermark, signature, (low quality, worst quality:1.3)
Note: it may appear to collapse more frequently when generating an image resolution of 1664 × 936(or even bigger). We guess the resolution gap between training data and the test leads to this phenomenon(the largest size of our training input is 1360 × 768).
Any suggestion is appreciated!
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