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The trigger word is 'gwm txxx'.
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Supports generating high-resolution images now!
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1664×936, 16:9
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1280×960, 4:3
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1024×1024, 1:1
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or other you like
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Better scenery and vehicle photography composition.
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Better vehicle details.
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The problem of word pollution is alleviated.
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Recommended params
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Sampling method: DPM++ 2M SDE Karras
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CFG Scale: 3~5
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Checkpoint: Juggernaut XL - V 7 + RunDiffusion | Stable Diffusion Checkpoint | Civitai ( Highly Recommended! )
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Prompt:
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{your description}, ultra detail, Eye-level product film photography, depth of field, shot on 120mm, shot on Hasselblad, Cross Processing Color grading
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{your description}, ultra detail, beautiful, hd, 8k, (photographic:1.5), magnificent, grandiose, macos wallpaper
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Negative prompt:
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collapse, scatter, out of frame, low-res, text, error, cropped, worst quality, low quality, jpeg artifacts, duplicate, wrong proportions, mutation, deformed, blurry, bad anatomy, bad proportions, username, watermark, signature, (low quality, worst quality:1.3)
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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).
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Any suggestion is appreciated!
描述:
训练词语: gwm txxx
名称: GWMTank300_V2.0.safetensors
大小 (KB): 363051
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success