2、本地部署温馨提醒：需要先将本地的 Stable Diffusion WebUI 更新到 1.5.1「SDXL 1.0 base mod...
Model hash: d48c2391e0, Model: aamXLAnimeMix_v10, VAE hash: 63aeecb90f, VAE: sdxl_vae.safetensors, Denoising strength: 0.35, Clip skip: 2, ENSD: 31337, Tiled Diffusion upscaler: R-ESRGAN 4x+ Anime6B, Tiled Diffusion scale factor: 2, Tiled Diffusion: {"Method": "Mixture of Diffu...
Prompt: lora:sdxl_base_yousa v1.1:0.9, masterpiece, best quality, yousa, yousa_WithShipSeagull, 1girl, solo, red eyes,DMB_hair, WithShipSeagull_hair_ornament, (WithShipSeagull_suits:1.2), looking at viewer, beach, night, galaxyNegative prompt: (low quality, worst quality:1.4), negativeXL...
【AiBase提要】:1. VRoxy是一款高级远程机器人，能够自动并实时响应虚拟现实中用户的动作和手势。2. 这一系统允许用户在狭小的空间中，如办公室，通过虚拟现实与更大空间中的团队成员进行协作，提高了远程合作的效率。3. 未来的发展计划包括增加机械手臂和实时地图制作功能，使VRoxy更加多功能化。扎克伯格:到2024年A...
Stable Diffusion WebUIv1.5+SDXLv1.0 test所需要的大模型和大文件,固定文件,尝试做成数据集,不然每次关机太痛苦了 文件列表 sdxl_vae.safetensors parsing_parsenet.pth detection_Resnet50_Final.pth codeformer.pth v1-5-pruned-emaonly.safetensors sd_xl_refiner_1.0.safetensors sd_xl_base_1.0.safetens...
batch size": 8, "Upscaler": "R-ESRGAN 4x+ Anime6B", "Upscale factor": 2, "Keep input size": true}, Lora hashes: "sdxl_base_yousa v1.1: b1823ef0b6b2", TI hashes: "negativeXL_D: fff5d51ab655, negativeXL_D: fff5d51ab655", Downcast alphas_cumprod: True, Version: v1.8.0 ...
转运:【SDXL lora】小仙女xiaoixannv1.0模型 喜爱 1 SDXL的Base底模跑中国美女还是不行,等待XL版本的chilloutmix等大模型之余,自己随便炼了个XL版本的lora。 0.6权重,用prompt:artwork by Miho Hirano,可以跑出示例图的感觉。 其他的大家自己发挥、尝试,不是什么仙丹(其实是废丹),就是凑个热闹、方便自己没法...
blip_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base") labels = blip_model.generate(image) caption = blip_processor.decode(labels[0], skip_special_tokens=True) print("图片标签:", caption) trigger_word = "traditional Chinese painting" ...
xl_vae.safetensors, Clip skip: 2, Style Selector Enabled: True, Style Selector Randomize: False, Style Selector Style: base, TI hashes: "FastNegative: 5fad4540ba18, unaestheticXL_AYv1: 8a94b6725117, FastNegative: 5fad4540ba18, unaestheticXL_AYv1: 8a94b6725117", Version: v1.6....
optimizers[-1].param_groups[0]["lr"] return logs def train(args): train_util.verify_training_args(args) train_util.prepare_dataset_args(args, True) sdxl_train_util.verify_sdxl_training_args(args) cache_latents = args.cache_latents ...