Gemma Chan版本v1.0 (ID: 464350)

Gemma Chan版本v1.0 (ID: 464350)

Gemma Chan (born 29 November 1982) is an English actress. A graduate of Worcester College, Oxford, Chan began acting during the late 2000s, making her film debut in 2009. She rose to attention with her leading role in the Channel 4 science fiction series Humans (2015–2018).

Chan came to international prominence with her starring roles in Crazy Rich Asians (2018) and as Elizabeth Hardwick in Mary Queen of Scots (2018), the first of which earned her a nomination for the Screen Actors Guild Award for Outstanding Performance by a Cast in a Motion Picture. She next starred in the Marvel Cinematic Universe films Captain Marvel (2019) and Eternals (2021), portraying Minn-Erva and Sersi, respectively. She also voiced Namaari in the Disney animated film Raya and the Last Dragon (2021) and appeared in Olivia Wilde's psychological thriller Don't Worry Darling (2022) and Gareth Edwards' science fiction action film The Creator (2023).

  • I do not use adetailer or a refiner for the sample images posted above. (I do think adetailer is amazing and probably should be used for most artwork. I don't use it here just to showcase what the base file can do, but would absolutely use it if I was making art with my files)

  • My Files are designed to be work on the base model at weight 1.0. For other derived SDXL models, try weights around .70 to .80

  • This file heavily favors photorealistic style. It is possible to prompt for more varied artistic styles(see sample images), but know that you may need to increase the weight of the style portion of the prompt to get better results

  • I prefer DPM++2M SDE karras or DPM++SDE karras for these files. I think they produce better photorealistic results

  • As with all sdxl loras, the complexity of the prompt can reduce the likeness. All Samples images are at 1.0 strength, but feel free to adjust it higher if you are starting to lose fidelity due to a complicated prompt

描述:

训练词语: gmmchnsrsi woman

名称: Gemma Chan v3.safetensors

大小 (KB): 891164

类型: Model

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

Gemma Chan

Gemma Chan

Gemma Chan

Gemma Chan

Gemma Chan

Gemma Chan

Gemma Chan

Gemma Chan

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