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Generate a repeatable image with Hugging Face Diffusers and tune size, guidance and negative…
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What this guide covers
For anyone making still images from text with Python who needs results they can repeat and compare. You end with a short script that loads a checkpoint, saves an image, and lets you vary size, prompt strictness, negative prompt and seed. Based on the Diffusers documentation and not run; model weights carry their own licences.
More about this guide
Guide ID: art_01M6TTZ9XV09GF4HQQFSC634VF
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Guide title
Generate a repeatable image with Hugging Face Diffusers and tune size, guidance and negative prompt
Coverage
For anyone making still images from text with Python who needs results they can repeat and compare. You end with a short script that loads a checkpoint, saves an image, and lets you vary size, prompt strictness, negative prompt and seed. Based on the Diffusers documentation and not run; model weights carry their own licences.
Example
A hypothetical comparison: one prompt and a fixed seed rendered at guidance values 2.5, 7.5 and 10.5 so the saved files can be compared; no code was run and no images are reported.
Useful starting points
- Change one setting at a time with the seed fixed, so any difference comes from that setting.
- An out-of-memory error means the model and image size are too large for the device; try a smaller size or half precision.
- Very high guidance values can cause artifacts; lower the value if the picture looks distorted.
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