3 lines
307 KiB
JavaScript
3 lines
307 KiB
JavaScript
var h=Object.defineProperty;var i=(e,_)=>()=>(e&&(_=e(e=0)),_);var t=(e,_)=>{for(var n in _)h(e,n,{get:_[n],enumerable:true});};var o={};t(o,{default:()=>y});var y,a=i(()=>{y=[{version:"v1",prefix:"redshift style ",upcast_attention:false,default_scale:8,file:"redshift_v1_f16.ckpt",text_encoder:"redshift_v1_clip_vit_l14_f16.ckpt",name:"3D Model (Redshift v1)"},{name:"3D Model 768 (Redshift 768)",objective:{v:{}},file:"redshift_768_v_f16.ckpt",version:"v2",upcast_attention:false,prefix:"redshift style ",text_encoder:"redshift_768_v_open_clip_vit_h14_f16.ckpt",default_scale:12},{upcast_attention:false,version:"v1",name:"AloeVera's SimpMaker 3K1",file:"aloeveras_simpmaker_3k1_f16.ckpt",prefix:"",default_scale:8},{name:"Analog (v1)",prefix:"analog style 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[Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v48 Detail Calibrated",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"chroma_v48_detail_calibrated_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},mmdit:{dual_attention_layers:[],distilled_guidance_layers:5,qk_norm:true},note:"See more about [Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v48 Detail Calibrated 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HD](https://huggingface.co/lodestones/Chroma1-HD)."},{name:"Chroma1 HD (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"chroma_1_hd_r0.1_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},mmdit:{dual_attention_layers:[],distilled_guidance_layers:5,qk_norm:true},note:"See more about [Chroma1 HD](https://huggingface.co/lodestones/Chroma1-HD)."},{name:"ChronoEdit 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(5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"flux_1_dev_de_distill_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}},tea_cache_coefficients:[498.651651,-283.781631,55.8554382,-3.82021401,.264230861]},{name:"FLUX.1 [schnell]",file:"flux_1_schnell_q8p.ckpt",prefix:"",version:"flux1",defaultScale:16,textEncoder:"t5_xxl_encoder_q6p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"clip_vit_l14_f16.ckpt",highPrecisionAutoencoder:true,isConsistencyModel:true,paddedTextEncodingLength:256,hiresFixScale:24},{name:"FLUX.1 [schnell] (5-bit)",file:"flux_1_schnell_q5p.ckpt",prefix:"",version:"flux1",defaultScale:16,textEncoder:"t5_xxl_encoder_q6p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"clip_vit_l14_f16.ckpt",highPrecisionAutoencoder:true,isConsistencyModel:true,paddedTextEncodingLength:256,hiresFixScale:24},{name:"FLUX.1 Canny [dev]",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"canny",default_scale:16,hires_fix_scale:24,file:"flux_1_canny_dev_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}}},{name:"FLUX.1 Canny [dev] (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"canny",default_scale:16,hires_fix_scale:24,file:"flux_1_canny_dev_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}}},{name:"FLUX.1 Depth [dev]",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"depth",default_scale:16,hires_fix_scale:24,file:"flux_1_depth_dev_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}}},{name:"FLUX.1 Depth [dev] (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"depth",default_scale:16,hires_fix_scale:24,file:"flux_1_depth_dev_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}}},{name:"FLUX.1 Fill [dev]",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"inpainting",default_scale:16,hires_fix_scale:24,file:"flux_1_fill_dev_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:128,objective:{u:{condition_scale:1e3}}},{name:"FLUX.1 Fill [dev] (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"inpainting",default_scale:16,hires_fix_scale:24,file:"flux_1_fill_dev_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:128,objective:{u:{condition_scale:1e3}}},{name:"FLUX.1 Kontext [dev]",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"kontext",default_scale:16,hires_fix_scale:24,file:"flux_1_kontext_dev_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}},tea_cache_coefficients:[498.651651,-283.781631,55.8554382,-3.82021401,.264230861]},{name:"FLUX.1 Kontext [dev] (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"kontext",default_scale:16,hires_fix_scale:24,file:"flux_1_kontext_dev_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}},tea_cache_coefficients:[498.651651,-283.781631,55.8554382,-3.82021401,.264230861]},{name:"FLUX.1 Kontext [dev] (Exact)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",modifier:"kontext",default_scale:16,hires_fix_scale:24,file:"flux_1_kontext_dev_f16.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_f16.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}},tea_cache_coefficients:[498.651651,-283.781631,55.8554382,-3.82021401,.264230861]},{name:"FLUX.1 Krea [dev]",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"flux_1_krea_dev_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}},tea_cache_coefficients:[498.651651,-283.781631,55.8554382,-3.82021401,.264230861]},{name:"FLUX.1 Krea [dev] (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"flux_1_krea_dev_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}},tea_cache_coefficients:[498.651651,-283.781631,55.8554382,-3.82021401,.264230861]},{name:"Fooocus Inpaint SDXL v2.6",file:"fooocus_inpaint_sd_xl_v2.6_f16.ckpt",prefix:"",version:"sdxl_base_v0.9",defaultScale:16,textEncoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt",modifier:"inpainting",clipEncoder:"clip_vit_l14_f16.ckpt"},{name:"Fooocus Inpaint SDXL v2.6 (8-bit)",file:"fooocus_inpaint_sd_xl_v2.6_q6p_q8p.ckpt",prefix:"",version:"sdxl_base_v0.9",defaultScale:16,textEncoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt",modifier:"inpainting",clipEncoder:"clip_vit_l14_f16.ckpt"},{upcast_attention:false,prefix:"ghibli style ",text_encoder:"ghibli_v1_clip_vit_l14_f16.ckpt",default_scale:8,file:"ghibli_v1_f16.ckpt",name:"Ghibli (v1)",version:"v1"},{file:"hna_3dkx_1.1_f16.ckpt",upcast_attention:false,text_encoder:"hna_3dkx_1.1_clip_vit_l14_f16.ckpt",default_scale:8,version:"v1",name:"H&A's 3DKX 1.1",prefix:"a 3d render / cartoon of "},{version:"v1",file:"hassanblend_v1.5.1.2_f16.ckpt",prefix:"",text_encoder:"hassanblend_v1.5.1.2_clip_vit_l14_f16.ckpt",upcast_attention:false,default_scale:8,name:"Hassanblend (v1.5.1.2)"},{name:"HiDream E1 [full]",file:"hidream_e1_full_q8p.ckpt",prefix:"",version:"hidream_i1",defaultScale:12,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",modifier:"editing",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-E1 [full]](https://huggingface.co/HiDream-ai/HiDream-E1-Full) is an image editing model built on HiDream-I1. It is MIT-licensed and commercially friendly. Trained at 768\xD7768 resolution using a Flow Matching objective, the model performs best with trailing samplers and 30\u201350 sampling steps. For optimal results, ensure the width is set to 768 and use the following prompt format: Editing Instruction: {}. Target Image Description: {}."},{name:"HiDream E1 [full] (5-bit)",file:"hidream_e1_full_q5p.ckpt",prefix:"",version:"hidream_i1",defaultScale:12,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",modifier:"editing",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-E1 [full]](https://huggingface.co/HiDream-ai/HiDream-E1-Full) is an image editing model built on HiDream-I1. It is MIT-licensed and commercially friendly. Trained at 768\xD7768 resolution using a Flow Matching objective, the model performs best with trailing samplers and 30\u201350 sampling steps. For optimal results, ensure the width is set to 768 and use the following prompt format: Editing Instruction: {}. Target Image Description: {}."},{name:"HiDream E1-1",file:"hidream_e1_1_q8p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",modifier:"editing",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-E1-1](https://huggingface.co/HiDream-ai/HiDream-E1-1) is an image editing model built on HiDream-I1. It is MIT-licensed and commercially friendly. Trained with dynamic resolutions (around 1MP) using a Flow Matching objective, the model performs best with trailing samplers and 30\u201350 sampling steps."},{name:"HiDream E1-1 (5-bit)",file:"hidream_e1_1_q5p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",modifier:"editing",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-E1-1](https://huggingface.co/HiDream-ai/HiDream-E1-1) is an image editing model built on HiDream-I1. It is MIT-licensed and commercially friendly. Trained with dynamic resolutions (around 1MP) using a Flow Matching objective, the model performs best with trailing samplers and 30\u201350 sampling steps."},{name:"HiDream E1-1 (Exact)",version:"hidream_i1",autoencoder:"flux_1_vae_f16.ckpt",modifier:"editing",prefix:"",default_scale:16,hires_fix_scale:24,file:"hidream_e1_1_f16.ckpt",upcast_attention:false,text_encoder:"llama_3.1_8b_instruct_f16.ckpt",t5_encoder:"t5_xxl_encoder_f16.ckpt",clip_encoder:"long_clip_vit_l14_f16.ckpt",additional_clip_encoders:["long_open_clip_vit_bigg14_f16.ckpt"],high_precision_autoencoder:true,padded_text_encoding_length:128,objective:{u:{condition_scale:1e3}},note:"[HiDream-E1-1](https://huggingface.co/HiDream-ai/HiDream-E1-1) is an image editing model built on HiDream-I1. It is MIT-licensed and commercially friendly. Trained at dynamic resolutions (around 1MP) using a Flow Matching objective, the model performs best with trailing samplers and 30\u201350 sampling steps."},{name:"HiDream I1 [dev]",file:"hidream_i1_dev_q8p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,guidanceEmbed:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-I1 [dev]](https://huggingface.co/HiDream-ai/HiDream-I1-Dev) is a state-of-the-art open-source image generation model known for its strong prompt adherence across diverse styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 20\u201330 sampling steps recommended. Text guidance is not effective for this model."},{name:"HiDream I1 [dev] (5-bit)",file:"hidream_i1_dev_q5p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,guidanceEmbed:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-I1 [dev]](https://huggingface.co/HiDream-ai/HiDream-I1-Dev) is a state-of-the-art open-source image generation model known for its strong prompt adherence across diverse styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 20\u201330 sampling steps recommended. Text guidance is not effective for this model."},{name:"HiDream I1 [dev] (Exact)",version:"hidream_i1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"hidream_i1_dev_f16.ckpt",upcast_attention:false,text_encoder:"llama_3.1_8b_instruct_f16.ckpt",t5_encoder:"t5_xxl_encoder_f16.ckpt",clip_encoder:"long_clip_vit_l14_f16.ckpt",additional_clip_encoders:["long_open_clip_vit_bigg14_f16.ckpt"],high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:128,objective:{u:{condition_scale:1e3}},note:"[HiDream-I1 [dev]](https://huggingface.co/HiDream-ai/HiDream-I1-Dev) is a state-of-the-art open-source image generation model known for its strong prompt adherence across diverse styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 20\u201330 sampling steps recommended. Text guidance is not effective for this model."},{name:"HiDream I1 [fast]",file:"hidream_i1_fast_q8p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,isConsistencyModel:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-I1 [fast]](https://huggingface.co/HiDream-ai/HiDream-I1-Fast) is a state-of-the-art open-source image generation model known for its strong prompt adherence across diverse styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 10\u201320 sampling steps recommended. Text guidance is not effective for this model."},{name:"HiDream I1 [fast] (5-bit)",file:"hidream_i1_fast_q5p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,isConsistencyModel:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-I1 [fast]](https://huggingface.co/HiDream-ai/HiDream-I1-Fast) is a state-of-the-art open-source image generation model known for its strong prompt adherence across diverse styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 10\u201320 sampling steps recommended. Text guidance is not effective for this model."},{name:"HiDream I1 [fast] (Exact)",version:"hidream_i1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"hidream_i1_fast_f16.ckpt",upcast_attention:false,text_encoder:"llama_3.1_8b_instruct_f16.ckpt",t5_encoder:"t5_xxl_encoder_f16.ckpt",clip_encoder:"long_clip_vit_l14_f16.ckpt",additional_clip_encoders:["long_open_clip_vit_bigg14_f16.ckpt"],high_precision_autoencoder:true,is_consistency_model:true,padded_text_encoding_length:128,objective:{u:{condition_scale:1e3}},note:"[HiDream-I1 [fast]](https://huggingface.co/HiDream-ai/HiDream-I1-Fast) is a state-of-the-art open-source image generation model known for its strong prompt adherence across diverse styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 10\u201320 sampling steps recommended. Text guidance is not effective for this model."},{name:"HiDream I1 [full]",file:"hidream_i1_full_q8p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-I1 [full]](https://huggingface.co/HiDream-ai/HiDream-I1-Full) is a state-of-the-art open-source image generation model known for its exceptional prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended."},{name:"HiDream I1 [full] (5-bit)",file:"hidream_i1_full_q5p.ckpt",prefix:"",version:"hidream_i1",defaultScale:16,textEncoder:"llama_3.1_8b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",clipEncoder:"long_clip_vit_l14_f16.ckpt",additionalClipEncoders:["long_open_clip_vit_bigg14_f16.ckpt"],t5Encoder:"t5_xxl_encoder_q6p.ckpt",highPrecisionAutoencoder:true,paddedTextEncodingLength:128,hiresFixScale:24,note:"[HiDream-I1 [full]](https://huggingface.co/HiDream-ai/HiDream-I1-Full) is a state-of-the-art open-source image generation model known for its exceptional prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended."},{name:"HiDream I1 [full] (Exact)",version:"hidream_i1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"hidream_i1_full_f16.ckpt",upcast_attention:false,text_encoder:"llama_3.1_8b_instruct_f16.ckpt",t5_encoder:"t5_xxl_encoder_f16.ckpt",clip_encoder:"long_clip_vit_l14_f16.ckpt",additional_clip_encoders:["long_open_clip_vit_bigg14_f16.ckpt"],high_precision_autoencoder:true,padded_text_encoding_length:128,objective:{u:{condition_scale:1e3}},note:"[HiDream-I1 [full]](https://huggingface.co/HiDream-ai/HiDream-I1-Full) is a state-of-the-art open-source image generation model known for its exceptional prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is MIT-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended."},{name:"Hunyuan Video T2V 720p",version:"hunyuan_video",autoencoder:"hunyuan_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:24,file:"hunyuan_video_t2v_720p_q8p.ckpt",upcast_attention:false,text_encoder:"llava_llama_3_8b_v1.1_q8p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:false,guidance_embed:true,objective:{u:{condition_scale:1e3}},frames_per_second:30,tea_cache_coefficients:[733.226126,-401.131952,67.5869174,-3.149878,.0961237896],note:"[Hunyuan Video](https://huggingface.co/tencent/HunyuanVideo) is a state-of-the-art text-to-video model developed by Tencent. It can generate video clips of up to 5 seconds in length. The recommended resolutions are 960\xD7544 or 1280\xD7720. The model supports up to 129 frames, with a recommended shift value of 7.0."},{name:"Hunyuan Video T2V 720p (5-bit, SVDQuant)",version:"hunyuan_video",autoencoder:"hunyuan_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:24,file:"hunyuan_video_t2v_720p_q5p_svd.ckpt",upcast_attention:false,text_encoder:"llava_llama_3_8b_v1.1_q8p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:false,guidance_embed:true,objective:{u:{condition_scale:1e3}},frames_per_second:30,tea_cache_coefficients:[733.226126,-401.131952,67.5869174,-3.149878,.0961237896],note:"[Hunyuan Video](https://huggingface.co/tencent/HunyuanVideo) is a state-of-the-art text-to-video model developed by Tencent. It can generate video clips of up to 5 seconds in length. The recommended resolutions are 960\xD7544 or 1280\xD7720. The model supports up to 129 frames, with a recommended shift value of 7.0.",builtin_lora:true},{name:"iCatcher Cartoon",file:"icatcher_cartoon_f16.ckpt",prefix:"",modifier:"none",default_scale:16,upcast_attention:false,autoencoder:"sdxl_vae_v1.0_f16.ckpt",clip_encoder:"icatcher_cartoon_clip_vit_l14_f16.ckpt",version:"sdxl_base_v0.9",text_encoder:"icatcher_cartoon_open_clip_vit_bigg14_f16.ckpt"},{name:"iCatcher Cartoon (8-bit)",file:"icatcher_cartoon_q6p_q8p.ckpt",prefix:"",modifier:"none",default_scale:16,upcast_attention:false,autoencoder:"sdxl_vae_v1.0_f16.ckpt",clip_encoder:"icatcher_cartoon_clip_vit_l14_f16.ckpt",version:"sdxl_base_v0.9",text_encoder:"icatcher_cartoon_open_clip_vit_bigg14_f16.ckpt"},{name:"iCatcher 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(8-bit)",modifier:"none",file:"kwai_kolors_1.0_q6p_q8p.ckpt",text_encoder:"chatglm3_6b_q6p_q8p.ckpt",text_encoder_version:"chatglm3_6b"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:true,name:"Kwai Kolors Inpainting 1.0",modifier:"inpainting",file:"kwai_kolors_inpainting_1.0_f16.ckpt",text_encoder:"chatglm3_6b_q6p_q8p.ckpt",text_encoder_version:"chatglm3_6b"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:true,name:"Kwai Kolors Inpainting 1.0 (8-bit)",modifier:"inpainting",file:"kwai_kolors_inpainting_1.0_q6p_q8p.ckpt",text_encoder:"chatglm3_6b_q6p_q8p.ckpt",text_encoder_version:"chatglm3_6b"},{version:"v1",default_scale:8,prefix:"",name:"MajicMIX Realistic v7",upcast_attention:false,file:"majicmix_realistic_v7_f16.ckpt",text_encoder:"majicmix_realistic_v7_clip_vit_l14_f16.ckpt",modifier:"none"},{version:"v1",default_scale:8,prefix:"",name:"MajicMIX Realistic v7 (8-bit)",upcast_attention:false,file:"majicmix_realistic_v7_q6p_q8p.ckpt",text_encoder:"majicmix_realistic_v7_clip_vit_l14_f16.ckpt",modifier:"none"},{name:"MiniSD v1.4",file:"minisd_v1.4_f16.ckpt",prefix:"",version:"v1",defaultScale:4,deprecated:true},{prefix:"modern disney style ",upcast_attention:false,version:"v1",file:"modi_v1_f16.ckpt",name:"Modern Disney (v1)",text_encoder:"modi_v1_clip_vit_l14_f16.ckpt",default_scale:8},{file:"nitro_v1_f16.ckpt",default_scale:8,version:"v1",prefix:"",name:"Multi-Style (Nitro Diffusion v1)",upcast_attention:false,text_encoder:"nitro_v1_clip_vit_l14_f16.ckpt"},{text_encoder:"mdjrny_v4_clip_vit_l14_f16.ckpt",version:"v1",prefix:"mdjrny-v4 style ",upcast_attention:false,file:"mdjrny_v4_f16.ckpt",name:"Openjourney",default_scale:8},{autoencoder:"vae_ft_mse_840000_f16.ckpt",default_scale:16,prefix:"",version:"v1",upcast_attention:false,name:"Outfitting Fusion Virtual Try-on (Full-Body)",modifier:"double",file:"ootd_vton_full_body_1.0_f16.ckpt",text_encoder:"clip_vit_l14_f16.ckpt"},{autoencoder:"vae_ft_mse_840000_f16.ckpt",default_scale:16,prefix:"",version:"v1",upcast_attention:false,name:"Outfitting Fusion Virtual Try-on (Upper-Body)",modifier:"double",file:"ootd_vton_upper_body_1.0_f16.ckpt",text_encoder:"clip_vit_l14_f16.ckpt"},{name:"Paper Cut (v1)",upcast_attention:false,version:"v1",file:"papercut_v1_f16.ckpt",prefix:"papercut ",default_scale:8,text_encoder:"papercut_v1_clip_vit_l14_f16.ckpt"},{name:"PixArt Sigma XL 1K",file:"pixart_sigma_xl_2_1024_ms_f16.ckpt",prefix:"",version:"pixart",defaultScale:16,textEncoder:"t5_xxl_encoder_q6p.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt"},{name:"PixArt Sigma XL 1K (8-bit)",file:"pixart_sigma_xl_2_1024_ms_q8p.ckpt",prefix:"",version:"pixart",defaultScale:16,textEncoder:"t5_xxl_encoder_q6p.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt"},{name:"PixArt Sigma XL 512",file:"pixart_sigma_xl_2_512_ms_f16.ckpt",prefix:"",version:"pixart",defaultScale:8,textEncoder:"t5_xxl_encoder_q6p.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt"},{name:"PixArt Sigma XL 512 (8-bit)",file:"pixart_sigma_xl_2_512_ms_q8p.ckpt",prefix:"",version:"pixart",defaultScale:8,textEncoder:"t5_xxl_encoder_q6p.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:false,name:"PixelWave 10",modifier:"none",file:"pixelwave_10_f16.ckpt",clip_encoder:"pixelwave_10_clip_vit_l14_f16.ckpt",text_encoder:"pixelwave_10_open_clip_vit_bigg14_f16.ckpt"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:false,name:"PixelWave 10 (8-bit)",modifier:"none",file:"pixelwave_10_q6p_q8p.ckpt",clip_encoder:"pixelwave_10_clip_vit_l14_f16.ckpt",text_encoder:"pixelwave_10_open_clip_vit_bigg14_f16.ckpt"},{name:"PixelWave FLUX.1 Schnell 04",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"pixelwave_flux_1_schnell_04_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,is_consistency_model:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}}},{name:"PixelWave FLUX.1 Schnell 04 (5-bit, SVDQuant)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"pixelwave_flux_1_schnell_04_q5p_svd.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,is_consistency_model:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},builtin_lora:true},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:false,name:"PixelWave v9",modifier:"none",text_encoder:"pixelwave_v9_open_clip_vit_bigg14_f16.ckpt",clip_encoder:"pixelwave_v9_clip_vit_l14_f16.ckpt",file:"pixelwave_v9_f16.ckpt"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:false,name:"PixelWave v9 (8-bit)",modifier:"none",text_encoder:"pixelwave_v9_open_clip_vit_bigg14_f16.ckpt",clip_encoder:"pixelwave_v9_clip_vit_l14_f16.ckpt",file:"pixelwave_v9_q6p_q8p.ckpt"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",clip_encoder:"clip_vit_l14_f16.ckpt",version:"sdxl_base_v0.9",upcast_attention:false,name:"Playground v2",file:"playground_v2_f16.ckpt",text_encoder:"open_clip_vit_bigg14_f16.ckpt",modifier:"none"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",clip_encoder:"clip_vit_l14_f16.ckpt",version:"sdxl_base_v0.9",upcast_attention:false,name:"Playground v2 (8-bit)",file:"playground_v2_q6p_q8p.ckpt",text_encoder:"open_clip_vit_bigg14_f16.ckpt",modifier:"none"},{conditioning:"noise",latents_std:[8.4927,5.9022,6.5498,5.2299],autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,objective:{edm:{sigma_data:.5}},prefix:"",clip_encoder:"clip_vit_l14_f16.ckpt",version:"sdxl_base_v0.9",upcast_attention:false,name:"Playground v2.5",file:"playground_v2.5_f16.ckpt",noise_discretization:{edm:{_0:{sigma_min:.002,sigma_data:.5,sigma_max:80}}},text_encoder:"open_clip_vit_bigg14_f16.ckpt",latents_mean:[-1.6574,1.886,-1.383,2.5155],latents_scaling_factor:.5},{conditioning:"noise",latents_std:[8.4927,5.9022,6.5498,5.2299],autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,objective:{edm:{sigma_data:.5}},prefix:"",clip_encoder:"clip_vit_l14_f16.ckpt",version:"sdxl_base_v0.9",upcast_attention:false,name:"Playground v2.5 (8-bit)",file:"playground_v2.5_q6p_q8p.ckpt",noise_discretization:{edm:{_0:{sigma_min:.002,sigma_data:.5,sigma_max:80}}},text_encoder:"open_clip_vit_bigg14_f16.ckpt",latents_mean:[-1.6574,1.886,-1.383,2.5155],latents_scaling_factor:.5},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:false,name:"Proteus v0.3",modifier:"none",clip_encoder:"proteus_v0.3_clip_vit_l14_f16.ckpt",file:"proteus_v0.3_f16.ckpt",text_encoder:"proteus_v0.3_open_clip_vit_bigg14_f16.ckpt"},{autoencoder:"sdxl_vae_v1.0_f16.ckpt",default_scale:16,prefix:"",version:"sdxl_base_v0.9",upcast_attention:false,name:"Proteus v0.3 (8-bit)",modifier:"none",clip_encoder:"proteus_v0.3_clip_vit_l14_f16.ckpt",file:"proteus_v0.3_q6p_q8p.ckpt",text_encoder:"proteus_v0.3_open_clip_vit_bigg14_f16.ckpt"},{name:"Qwen Image 1.0",file:"qwen_image_1.0_q8p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",hiresFixScale:24,note:"[Qwen Image](https://huggingface.co/Qwen/Qwen-Image) is a state-of-the-art open-source image generation model known for its exceptional text layout and prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image 1.0 (6-bit)",file:"qwen_image_1.0_q6p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",hiresFixScale:24,note:"[Qwen Image](https://huggingface.co/Qwen/Qwen-Image) is a state-of-the-art open-source image generation model known for its exceptional text layout and prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image 1.0 (BF16, 6-bit)",file:"qwen_image_1.0_bf16_q6p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",hiresFixScale:24,isBf16:true,note:"[Qwen Image](https://huggingface.co/Qwen/Qwen-Image) is a state-of-the-art open-source image generation model known for its exceptional text layout and prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. The BF16 version is only compatible with macOS 15, iOS 18 and above.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image 1.0 (BF16, Exact)",version:"qwen_image",autoencoder:"qwen_image_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"qwen_image_1.0_bf16.ckpt",upcast_attention:false,text_encoder:"qwen_2.5_vl_7b_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},is_bf16:true,note:"[Qwen Image](https://huggingface.co/Qwen/Qwen-Image) is a state-of-the-art open-source image generation model known for its exceptional text layout and prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. The BF16 version is only compatible with macOS 15, iOS 18 and above."},{name:"Qwen Image 1.0 (BF16)",file:"qwen_image_1.0_bf16_q8p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",hiresFixScale:24,isBf16:true,note:"[Qwen Image](https://huggingface.co/Qwen/Qwen-Image) is a state-of-the-art open-source image generation model known for its exceptional text layout and prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. The BF16 version is only compatible with macOS 15, iOS 18 and above.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image 1.0 (Exact)",version:"qwen_image",autoencoder:"qwen_image_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"qwen_image_1.0_f16.ckpt",upcast_attention:false,text_encoder:"qwen_2.5_vl_7b_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},note:"[Qwen Image](https://huggingface.co/Qwen/Qwen-Image) is a state-of-the-art open-source image generation model known for its exceptional text layout and prompt adherence across a wide range of styles, including photorealistic, cartoon, and artistic. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended."},{name:"Qwen Image Edit 1.0",file:"qwen_image_edit_1.0_q8p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",modifier:"kontext",clipEncoder:"qwen_2.5_vl_7b_vit_f16.ckpt",hiresFixScale:24,note:"[Qwen Image Edit](https://huggingface.co/Qwen/Qwen-Image-Edit) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image Edit 1.0 (6-bit)",file:"qwen_image_edit_1.0_q6p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",modifier:"kontext",clipEncoder:"qwen_2.5_vl_7b_vit_f16.ckpt",hiresFixScale:24,note:"[Qwen Image Edit](https://huggingface.co/Qwen/Qwen-Image-Edit) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image Edit 2509",file:"qwen_image_edit_2509_q8p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",modifier:"qwenimageEditPlus",clipEncoder:"qwen_2.5_vl_7b_vit_f16.ckpt",hiresFixScale:24,note:"[Qwen Image Edit 2509](https://huggingface.co/Qwen/Qwen-Image-Edit-2509) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. This is an update in Sep, 2025.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image Edit 2509 (6-bit)",file:"qwen_image_edit_2509_q6p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",modifier:"qwenimageEditPlus",clipEncoder:"qwen_2.5_vl_7b_vit_f16.ckpt",hiresFixScale:24,note:"[Qwen Image Edit 2509](https://huggingface.co/Qwen/Qwen-Image-2509) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. This is an update in Sep, 2025.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image Edit 2509 (BF16, 6-bit)",file:"qwen_image_edit_2509_bf16_q6p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",modifier:"qwenimageEditPlus",clipEncoder:"qwen_2.5_vl_7b_vit_f16.ckpt",hiresFixScale:24,isBf16:true,note:"[Qwen Image Edit 2509](https://huggingface.co/Qwen/Qwen-Image-2509) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. This is an update in Sep, 2025. The BF16 version is only compatible with macOS 15, iOS 18 and above.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image Edit 2509 (BF16, Exact)",version:"qwen_image",autoencoder:"qwen_image_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"qwen_image_edit_2509_bf16.ckpt",upcast_attention:false,modifier:"qwenimage_edit_plus",text_encoder:"qwen_2.5_vl_7b_f16.ckpt",clip_encoder:"qwen_2.5_vl_7b_vit_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},is_bf16:true,note:"[Qwen Image Edit 2509](https://huggingface.co/Qwen/Qwen-Image-2509) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. This is an update in Sep, 2025. The BF16 version is only compatible with macOS 15, iOS 18 and above."},{name:"Qwen Image Edit 2509 (BF16)",file:"qwen_image_edit_2509_bf16_q8p.ckpt",prefix:"",version:"qwen_image",defaultScale:16,textEncoder:"qwen_2.5_vl_7b_q8p.ckpt",autoencoder:"qwen_image_vae_f16.ckpt",modifier:"qwenimageEditPlus",clipEncoder:"qwen_2.5_vl_7b_vit_f16.ckpt",hiresFixScale:24,isBf16:true,note:"[Qwen Image Edit 2509](https://huggingface.co/Qwen/Qwen-Image-Edit-2509) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. This is an update in Sep, 2025. The BF16 version is only compatible with macOS 15, iOS 18 and above.",copyright:"\xA9 2025 Alibaba"},{name:"Qwen Image Edit 2509 (Exact)",version:"qwen_image",autoencoder:"qwen_image_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"qwen_image_edit_2509_f16.ckpt",upcast_attention:false,modifier:"qwenimage_edit_plus",text_encoder:"qwen_2.5_vl_7b_f16.ckpt",clip_encoder:"qwen_2.5_vl_7b_vit_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},note:"[Qwen Image Edit 2509](https://huggingface.co/Qwen/Qwen-Image-2509) is a state-of-the-art open-source image edit model excels at image edit tasks such as background alternation, style transfer, object removal etc. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 30\u201350 sampling steps recommended. This is an update in Sep, 2025."},{name:"RayFLUX v3.0",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"rayflux_v3.0_aio_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,guidance_embed:true,padded_text_encoding_length:512,objective:{u:{condition_scale:1e3}},tea_cache_coefficients:[498.651651,-283.781631,55.8554382,-3.82021401,.264230861]},{name:"RayFLUX v3.0 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(8-bit)",file:"sd_xl_base_1.0_q6p_q8p.ckpt",prefix:"",version:"sdxl_base_v0.9",defaultScale:16,textEncoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt",clipEncoder:"clip_vit_l14_f16.ckpt"},{name:"SDXL Refiner (v0.9)",file:"sd_xl_refiner_0.9_f16.ckpt",prefix:"",version:"sdxl_refiner_v0.9",defaultScale:16,textEncoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"sdxl_vae_f16.ckpt",deprecated:true,clipEncoder:"clip_vit_l14_f16.ckpt"},{name:"SDXL Refiner (v1.0)",file:"sd_xl_refiner_1.0_f16.ckpt",prefix:"",version:"sdxl_refiner_v0.9",defaultScale:16,textEncoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt",clipEncoder:"clip_vit_l14_f16.ckpt"},{name:"SDXL Refiner v1.0 (8-bit)",file:"sd_xl_refiner_1.0_q6p_q8p.ckpt",prefix:"",version:"sdxl_refiner_v0.9",defaultScale:16,textEncoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"sdxl_vae_v1.0_f16.ckpt",clipEncoder:"clip_vit_l14_f16.ckpt"},{name:"SDXL Turbo",prefix:"",default_scale:8,autoencoder:"sdxl_vae_v1.0_f16.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",text_encoder:"open_clip_vit_bigg14_f16.ckpt",file:"sd_xl_turbo_f16.ckpt",version:"sdxl_base_v0.9",upcast_attention:false,is_consistency_model:true},{name:"SDXL Turbo (8-bit)",prefix:"",default_scale:8,autoencoder:"sdxl_vae_v1.0_f16.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",text_encoder:"open_clip_vit_bigg14_f16.ckpt",file:"sd_xl_turbo_q6p_q8p.ckpt",version:"sdxl_base_v0.9",upcast_attention:false,is_consistency_model:true},{text_encoder:"seek_art_mega_v1_clip_vit_l14_f16.ckpt",upcast_attention:false,name:"seek.art MEGA (v1)",version:"v1",file:"seek_art_mega_v1_f16.ckpt",default_scale:10,prefix:""},{name:"Shuttle Jaguar",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"shuttle_jaguar_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,is_consistency_model:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}}},{name:"Shuttle Jaguar (5-bit, SVDQuant)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"shuttle_jaguar_q5p_svd.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,is_consistency_model:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},builtin_lora:true},{name:"Shuttle v3.1 Aesthetic",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"shuttle_v3.1_aesthetic_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,is_consistency_model:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}}},{name:"Shuttle v3.1 Aesthetic (5-bit, SVDQuant)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"shuttle_v3.1_aesthetic_q5p_svd.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,is_consistency_model:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},builtin_lora:true},{name:"SkyReels v1 Hunyuan I2V 544p",version:"hunyuan_video",autoencoder:"hunyuan_video_vae_f16.ckpt",prefix:"FPS-24, ",default_scale:12,hires_fix_scale:24,file:"skyreels_v1_hunyuan_i2v_q8p.ckpt",upcast_attention:false,text_encoder:"llava_llama_3_8b_v1.1_q8p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:false,modifier:"inpainting",guidance_embed:true,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[733.226126,-401.131952,67.5869174,-3.149878,.0961237896],note:'[SkyReels v1](https://huggingface.co/collections/Skywork/skyreels-v1-67b34676ff65b4ec02d16307) is a significant fine-tune of Hunyuan Video, Tencent\u2019s state-of-the-art text-to-video model. SkyReels v1 I2V is an image-to-video (img2vid) fine-tune that generates video clips up to 4 seconds long from a single image. The model supports up to 97 frames, with a recommended shift value of 7.0 or higher. For optimal results, disable "Speedup w/ Guidance Embed" by setting it to 1.0 and use a Text Guidance value of 6.'},{name:"SkyReels v1 Hunyuan I2V 544p (5-bit, SVDQuant)",version:"hunyuan_video",autoencoder:"hunyuan_video_vae_f16.ckpt",prefix:"FPS-24, ",default_scale:12,hires_fix_scale:24,file:"skyreels_v1_hunyuan_i2v_q5p_svd.ckpt",upcast_attention:false,text_encoder:"llava_llama_3_8b_v1.1_q8p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:false,modifier:"inpainting",guidance_embed:true,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[733.226126,-401.131952,67.5869174,-3.149878,.0961237896],note:'[SkyReels v1](https://huggingface.co/collections/Skywork/skyreels-v1-67b34676ff65b4ec02d16307) is a significant fine-tune of Hunyuan Video, Tencent\u2019s state-of-the-art text-to-video model. SkyReels v1 I2V is an image-to-video (img2vid) fine-tune that generates video clips up to 4 seconds long from a single image. The model supports up to 97 frames, with a recommended shift value of 7.0 or higher. For optimal results, disable "Speedup w/ Guidance Embed" by setting it to 1.0 and use a Text Guidance value of 6.',builtin_lora:true},{name:"SkyReels v1 Hunyuan T2V 544p",version:"hunyuan_video",autoencoder:"hunyuan_video_vae_f16.ckpt",prefix:"FPS-24, ",default_scale:12,hires_fix_scale:24,file:"skyreels_v1_hunyuan_t2v_q8p.ckpt",upcast_attention:false,text_encoder:"llava_llama_3_8b_v1.1_q8p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:false,guidance_embed:true,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[733.226126,-401.131952,67.5869174,-3.149878,.0961237896],note:'[SkyReels v1](https://huggingface.co/collections/Skywork/skyreels-v1-67b34676ff65b4ec02d16307) is a significant fine-tune of Hunyuan Video, Tencent\u2019s state-of-the-art text-to-video model. It can generate video clips up to 4 seconds long at a recommended resolution of 960\xD7544. The model supports up to 97 frames, with a recommended shift value of 7.0 or higher. For optimal results, disable "Speedup w/ Guidance Embed" by setting it to 1.0 and use a Text Guidance value of 6.'},{name:"SkyReels v1 Hunyuan T2V 544p (5-bit, SVDQuant)",version:"hunyuan_video",autoencoder:"hunyuan_video_vae_f16.ckpt",prefix:"FPS-24, ",default_scale:12,hires_fix_scale:24,file:"skyreels_v1_hunyuan_t2v_q5p_svd.ckpt",upcast_attention:false,text_encoder:"llava_llama_3_8b_v1.1_q8p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:false,guidance_embed:true,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[733.226126,-401.131952,67.5869174,-3.149878,.0961237896],note:'[SkyReels v1](https://huggingface.co/collections/Skywork/skyreels-v1-67b34676ff65b4ec02d16307) is a significant fine-tune of Hunyuan Video, Tencent\u2019s state-of-the-art text-to-video model. It can generate video clips up to 4 seconds long at a recommended resolution of 960\xD7544. The model supports up to 97 frames, with a recommended shift value of 7.0 or higher. For optimal results, disable "Speedup w/ Guidance Embed" by setting it to 1.0 and use a Text Guidance value of 6.',builtin_lora:true},{name:"SkyReels v2 I2V 1.3B 540p",version:"wan_v2.1_1.3b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:8,hires_fix_scale:12,file:"skyreels_v2_i2v_1.3b_540p_f16.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],note:"[SkyReels v2 I2V 1.3B 540p](https://huggingface.co/Skywork/SkyReels-V2-I2V-1.3B-540P) is a image-to-video model developed by Skywork AI. It can generate video clips of up to 4 seconds in length. The model is trained at 544x960, supports up to 97 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (1.3B), it performs best with similar generation settings."},{name:"SkyReels v2 I2V 1.3B 540p (8-bit)",version:"wan_v2.1_1.3b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:8,hires_fix_scale:12,file:"skyreels_v2_i2v_1.3b_540p_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],note:"[SkyReels v2 I2V 1.3B 540p](https://huggingface.co/Skywork/SkyReels-V2-I2V-1.3B-540P) is a image-to-video model developed by Skywork AI. It can generate video clips of up to 4 seconds in length. The model is trained at 544x960, supports up to 97 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (1.3B), it performs best with similar generation settings."},{name:"SkyReels v2 I2V 14B 540p",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_i2v_14b_540p_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],note:"[SkyReels v2 I2V 14B 540p](https://huggingface.co/Skywork/SkyReels-V2-I2V-14B-540P) is a image-to-video model developed by Skywork AI. It can generate video clips of up to 4 seconds in length. The model is trained at 544x960, supports up to 97 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings."},{name:"SkyReels v2 I2V 14B 540p (6-bit, SVDQuant)",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_i2v_14b_540p_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],note:"[SkyReels v2 I2V 14B 540p](https://huggingface.co/Skywork/SkyReels-V2-I2V-14B-540P) is a image-to-video model developed by Skywork AI. It can generate video clips of up to 4 seconds in length. The model is trained at 544x960, supports up to 97 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings.",builtin_lora:true},{name:"SkyReels v2 I2V 14B 720p",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_i2v_14b_720p_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[SkyReels v2 I2V 14B 720p](https://huggingface.co/Skywork/SkyReels-V2-I2V-14B-720P) is a image-to-video model developed by Skywork AI. It can generate video clips of up to 5 seconds in length. The model is trained at 720x1280, supports up to 121 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings."},{name:"SkyReels v2 I2V 14B 720p (6-bit, SVDQuant)",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_i2v_14b_720p_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[SkyReels v2 I2V 14B 720p](https://huggingface.co/Skywork/SkyReels-V2-I2V-14B-720P) is a image-to-video model developed by Skywork AI. It can generate video clips of up to 5 seconds in length. The model is trained at 720x1280, supports up to 121 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings.",builtin_lora:true},{name:"SkyReels v2 T2V 14B 540p",version:"wan_v2.1_14b",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_t2v_14b_540p_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],note:"[SkyReels v2 T2V 14B 540p](https://huggingface.co/Skywork/SkyReels-V2-T2V-14B-540P) is a text-to-video model developed by Skywork AI. It can generate video clips of up to 4 seconds in length. The model is trained at 544x960, supports up to 97 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings."},{name:"SkyReels v2 T2V 14B 540p (6-bit, SVDQuant)",version:"wan_v2.1_14b",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_t2v_14b_540p_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],note:"[SkyReels v2 T2V 14B 540p](https://huggingface.co/Skywork/SkyReels-V2-T2V-14B-540P) is a text-to-video model developed by Skywork AI. It can generate video clips of up to 4 seconds in length. The model is trained at 544x960, supports up to 97 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings.",builtin_lora:true},{name:"SkyReels v2 T2V 14B 720p",version:"wan_v2.1_14b",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_t2v_14b_720p_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],note:"[SkyReels v2 T2V 14B 720p](https://huggingface.co/Skywork/SkyReels-V2-T2V-14B-720P) is a text-to-video model developed by Skywork AI. It can generate video clips of up to 5 seconds in length. The model is trained at 720x1280, supports up to 121 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings."},{name:"SkyReels v2 T2V 14B 720p (6-bit, SVDQuant)",version:"wan_v2.1_14b",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"skyreels_v2_t2v_14b_720p_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:24,tea_cache_coefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],note:"[SkyReels v2 T2V 14B 720p](https://huggingface.co/Skywork/SkyReels-V2-T2V-14B-720P) is a text-to-video model developed by Skywork AI. It can generate video clips of up to 5 seconds in length. The model is trained at 720x1280, supports up to 121 frames, with a recommended shift value of 5.0. As a derivative of Wan 2.1 (14B), it performs best with similar generation settings.",builtin_lora:true},{name:"Spider-Verse (v1)",version:"v1",text_encoder:"spiderverse_v1_clip_vit_l14_f16.ckpt",upcast_attention:false,default_scale:8,file:"spiderverse_v1_f16.ckpt",prefix:"spiderverse style "},{text_encoder:"open_clip_vit_bigg14_f16.ckpt",prefix:"",file:"ssd_1b_f16.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",version:"ssd_1b",autoencoder:"sdxl_vae_v1.0_f16.ckpt",upcast_attention:false,name:"SSD 1B (Segmind SDXL)",default_scale:16},{text_encoder:"open_clip_vit_bigg14_f16.ckpt",prefix:"",file:"ssd_1b_q6p_q8p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",version:"ssd_1b",autoencoder:"sdxl_vae_v1.0_f16.ckpt",upcast_attention:false,name:"SSD 1B (Segmind SDXL) (8-bit)",default_scale:16},{name:"Stable Cascade (W\xFCrstchen v3.0)",stage_models:["wurstchen_3.0_stage_b_f16.ckpt"],version:"wurstchen_v3.0_stage_c",default_scale:16,file:"wurstchen_3.0_stage_c_f32_f16.ckpt",text_encoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"wurstchen_3.0_stage_a_hq_f16.ckpt",upcast_attention:false,prefix:""},{name:"Stable Cascade (W\xFCrstchen v3.0) (8-bit)",stage_models:["wurstchen_3.0_stage_b_q6p_q8p.ckpt"],version:"wurstchen_v3.0_stage_c",default_scale:16,file:"wurstchen_3.0_stage_c_f32_q6p_q8p.ckpt",text_encoder:"open_clip_vit_bigg14_f16.ckpt",autoencoder:"wurstchen_3.0_stage_a_hq_f16.ckpt",upcast_attention:false,prefix:""},{name:"Stable Diffusion v1.4",file:"sd_v1.4_f16.ckpt",prefix:"",version:"v1",deprecated:true},{name:"Stable Diffusion v1.5",file:"sd_v1.5_f16.ckpt",prefix:"",version:"v1"},{name:"Stable Diffusion v1.5 Inpainting",file:"sd_v1.5_inpainting_f16.ckpt",prefix:"",version:"v1",modifier:"inpainting"},{name:"Stable Diffusion v2.0",file:"sd_v2.0_f16.ckpt",prefix:"",version:"v2",textEncoder:"open_clip_vit_h14_f16.ckpt",deprecated:true},{name:"Stable Diffusion v2.0 768-v",file:"sd_v2.0_768_v_f16.ckpt",prefix:"",version:"v2",defaultScale:12,textEncoder:"open_clip_vit_h14_f16.ckpt",deprecated:true},{name:"Stable Diffusion v2.0 Depth",file:"sd_v2.0_depth_f16.ckpt",prefix:"",version:"v2",textEncoder:"open_clip_vit_h14_f16.ckpt",modifier:"depth"},{name:"Stable Diffusion v2.0 Inpainting",file:"sd_v2.0_inpainting_f16.ckpt",prefix:"",version:"v2",textEncoder:"open_clip_vit_h14_f16.ckpt",modifier:"inpainting"},{name:"Stable Diffusion v2.1",file:"sd_v2.1_f16.ckpt",prefix:"",version:"v2",textEncoder:"open_clip_vit_h14_f16.ckpt"},{name:"Stable Diffusion v2.1 768-v",file:"sd_v2.1_768_v_f16.ckpt",prefix:"",version:"v2",upcastAttention:true,defaultScale:12,textEncoder:"open_clip_vit_h14_f16.ckpt"},{file:"svd_i2v_1.0_f16.ckpt",version:"svd_i2v",conditioning:"noise",objective:{v:{}},prefix:"",default_scale:8,clip_encoder:"svd_i2v_1.0_f16.ckpt",name:"Stable Video Diffusion I2V v1.0",text_encoder:"open_clip_vit_h14_vision_model_f16.ckpt",upcast_attention:false,modifier:"none",noise_discretization:{edm:{_0:{sigma_max:700,sigma_data:.5,sigma_min:.002}}}},{file:"svd_i2v_1.0_q6p_q8p.ckpt",version:"svd_i2v",conditioning:"noise",objective:{v:{}},prefix:"",default_scale:8,clip_encoder:"svd_i2v_1.0_q6p_q8p.ckpt",name:"Stable Video Diffusion I2V v1.0 (8-bit)",text_encoder:"open_clip_vit_h14_vision_model_f16.ckpt",upcast_attention:false,modifier:"none",noise_discretization:{edm:{_0:{sigma_max:700,sigma_data:.5,sigma_min:.002}}}},{name:"Stable Video Diffusion I2V XT 1.0 (8-bit)",file:"svd_i2v_xt_1.0_q6p_q8p.ckpt",prefix:"",version:"svd_i2v",defaultScale:8,textEncoder:"open_clip_vit_h14_vision_model_f16.ckpt",deprecated:true,clipEncoder:"svd_i2v_xt_1.0_q6p_q8p.ckpt"},{name:"Stable Video Diffusion I2V XT v1.0",file:"svd_i2v_xt_1.0_f16.ckpt",prefix:"",version:"svd_i2v",defaultScale:8,textEncoder:"open_clip_vit_h14_vision_model_f16.ckpt",deprecated:true,clipEncoder:"svd_i2v_xt_1.0_f16.ckpt"},{file:"svd_i2v_xt_1.1_f16.ckpt",version:"svd_i2v",conditioning:"noise",objective:{v:{}},prefix:"",default_scale:8,clip_encoder:"svd_i2v_xt_1.1_f16.ckpt",name:"Stable Video Diffusion I2V XT v1.1",text_encoder:"open_clip_vit_h14_vision_model_f16.ckpt",upcast_attention:false,modifier:"none",noise_discretization:{edm:{_0:{sigma_max:700,sigma_data:.5,sigma_min:.002}}}},{file:"svd_i2v_xt_1.1_q6p_q8p.ckpt",version:"svd_i2v",conditioning:"noise",objective:{v:{}},prefix:"",default_scale:8,clip_encoder:"svd_i2v_xt_1.1_q6p_q8p.ckpt",name:"Stable Video Diffusion I2V XT v1.1 (8-bit)",text_encoder:"open_clip_vit_h14_vision_model_f16.ckpt",upcast_attention:false,modifier:"none",noise_discretization:{edm:{_0:{sigma_max:700,sigma_data:.5,sigma_min:.002}}}},{name:"Super Mario Nation (v2)",default_scale:8,text_encoder:"supermarionation_v2_clip_vit_l14_f16.ckpt",file:"supermarionation_v2_f16.ckpt",prefix:"supermarionation ",version:"v1",upcast_attention:false},{version:"v1",prefix:"trnlgcy style ",upcast_attention:false,default_scale:8,text_encoder:"trnlgcy_clip_vit_l14_f16.ckpt",name:"Tron Legacy",file:"trnlgcy_f16.ckpt"},{name:"Van Gogh Style (Lvngvncnt v2)",version:"v1",text_encoder:"lvngvncnt_v2_clip_vit_l14_f16.ckpt",upcast_attention:false,default_scale:8,file:"lvngvncnt_v2_f16.ckpt",prefix:"lvngvncnt "},{name:"VoxelArt (v1)",upcast_attention:false,version:"v1",file:"voxelart_v1_f16.ckpt",prefix:"voxelart ",default_scale:8,text_encoder:"voxelart_v1_clip_vit_l14_f16.ckpt"},{name:"Wan 2.1 1.3B Fun InP",version:"wan_v2.1_1.3b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:8,hires_fix_scale:12,file:"wan_2.1_1.3b_fun_inp_f16.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[-52186.2437,9230.41404,-528.275948,13.6987616,-0.0499875664],note:"[Wan2.1 1.3B Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-1.3B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result."},{name:"Wan 2.1 1.3B Fun InP (8-bit)",version:"wan_v2.1_1.3b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:8,hires_fix_scale:12,file:"wan_2.1_1.3b_fun_inp_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[-52186.2437,9230.41404,-528.275948,13.6987616,-0.0499875664],note:"[Wan2.1 1.3B Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-1.3B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result."},{name:"Wan 2.1 1.3B v1.1 Fun InP",version:"wan_v2.1_1.3b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:8,hires_fix_scale:12,file:"wan_2.1_1.3b_v1.1_fun_inp_f16.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[-52186.2437,9230.41404,-528.275948,13.6987616,-0.0499875664],note:"[Wan2.1 1.3B v1.1 Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result."},{name:"Wan 2.1 1.3B v1.1 Fun InP (8-bit)",version:"wan_v2.1_1.3b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:8,hires_fix_scale:12,file:"wan_2.1_1.3b_v1.1_fun_inp_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[-52186.2437,9230.41404,-528.275948,13.6987616,-0.0499875664],note:"[Wan2.1 1.3B v1.1 Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result."},{name:"Wan 2.1 14B Fun InP",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_fun_inp_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[Wan2.1 14B Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result."},{name:"Wan 2.1 14B Fun InP (6-bit, SVDQuant)",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_fun_inp_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[Wan2.1 14B Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result.",builtin_lora:true},{name:"Wan 2.1 14B I2V FusionX",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_i2v_fusionx_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[Wan2.1 14B FusionX](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) is a merged model of multiple quality and acceleration LoRAs."},{name:"Wan 2.1 14B I2V FusionX (6-bit, SVDQuant)",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_i2v_fusionx_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[Wan2.1 14B FusionX](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) is a merged model of multiple quality and acceleration LoRAs.",builtin_lora:true},{name:"Wan 2.1 14B T2V FusionX",version:"wan_v2.1_14b",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_t2v_fusionx_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],note:"[Wan2.1 14B FusionX](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) is a merged model of multiple quality and acceleration LoRAs."},{name:"Wan 2.1 14B T2V FusionX (6-bit, SVDQuant)",version:"wan_v2.1_14b",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_t2v_fusionx_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],note:"[Wan2.1 14B FusionX](https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX) is a merged model of multiple quality and acceleration LoRAs.",builtin_lora:true},{name:"Wan 2.1 14B v1.1 Fun InP",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_v1.1_fun_inp_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[Wan2.1 14B v1.1 Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result."},{name:"Wan 2.1 14B v1.1 Fun InP (6-bit, SVDQuant)",version:"wan_v2.1_14b",modifier:"inpainting",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_2.1_14b_v1.1_fun_inp_q6p_svd.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",clip_encoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],note:"[Wan2.1 14B v1.1 Fun InP](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-InP) is a state-of-the-art image-to-video model developed by Alibaba PAI. It can generate video clips of up to 4 seconds in length. The model is trained at multiple resolutions, supports up to 81 frames, with a recommended shift value of 5.0. Text Guidance should be somewhere between 3 to 7. Wan2.1 is trained with Flow Matching objective, Trailing samplers would give the best result.",builtin_lora:true},{name:"Wan 2.1 I2V 14B 480p",file:"wan_v2.1_14b_i2v_480p_q8p.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:8,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",clipEncoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",hiresFixScale:12,teaCacheCoefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],framesPerSecond:16,note:"[Wan2.1 I2V 14B 480P](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 832\xD7480. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 I2V 14B 480p (6-bit, SVDQuant)",file:"wan_v2.1_14b_i2v_480p_q6p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:8,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",clipEncoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",hiresFixScale:12,builtinLora:true,teaCacheCoefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],framesPerSecond:16,note:"[Wan2.1 I2V 14B 480P](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 832\xD7480. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 I2V 14B 720p",file:"wan_v2.1_14b_i2v_720p_q8p.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",clipEncoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",hiresFixScale:16,teaCacheCoefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],framesPerSecond:16,note:"[Wan2.1 I2V 14B 720P](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 I2V 14B 720p (6-bit, SVDQuant)",file:"wan_v2.1_14b_i2v_720p_q6p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",clipEncoder:"open_clip_xlm_roberta_large_vit_h14_f16.ckpt",hiresFixScale:16,builtinLora:true,teaCacheCoefficients:[8107.0546,2133.93892,-372.934672,16.6203073,-0.0417769401],framesPerSecond:16,note:"[Wan2.1 I2V 14B 720P](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 T2V 1.3B",file:"wan_v2.1_1.3b_480p_f16.ckpt",prefix:"",version:"wan_v2.1_1.3b",defaultScale:8,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:12,teaCacheCoefficients:[-52186.2437,9230.41404,-528.275948,13.6987616,-0.0499875664],framesPerSecond:16,note:"[Wan2.1 T2V 1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 832\xD7480. The model supports up to 81 frames, with a recommended shift value of 6.0. For best results, set Text Guidance above 5.0. Wan2.1 is trained with a Flow Matching objective, and trailing samplers will produce the best outputs.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 T2V 1.3B (8-bit)",file:"wan_v2.1_1.3b_480p_q8p.ckpt",prefix:"",version:"wan_v2.1_1.3b",defaultScale:8,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:12,teaCacheCoefficients:[-52186.2437,9230.41404,-528.275948,13.6987616,-0.0499875664],framesPerSecond:16,note:"[Wan2.1 T2V 1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 832\xD7480. The model supports up to 81 frames, with a recommended shift value of 6.0. For best results, set Text Guidance above 5.0. Wan2.1 is trained with a Flow Matching objective, and trailing samplers will produce the best outputs.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 T2V 14B",file:"wan_v2.1_14b_720p_q8p.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:16,teaCacheCoefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],framesPerSecond:16,note:"[Wan2.1 T2V 14B](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The recommended resolutions are 832\xD7480. The model supports up to 81 frames, with a recommended shift value of 5.0. For best results, set Text Guidance above 5.0. Wan2.1 is trained with a Flow Matching objective, and trailing samplers will produce the best outputs.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 T2V 14B (5-bit, SVDQuant)",file:"wan_v2.1_14b_720p_q5p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",deprecated:true,hiresFixScale:16,builtinLora:true,teaCacheCoefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],framesPerSecond:16,note:"[Wan2.1 T2V 14B](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.1 T2V 14B (6-bit, SVDQuant)",file:"wan_v2.1_14b_720p_q6p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:16,builtinLora:true,teaCacheCoefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],framesPerSecond:16,note:"[Wan2.1 T2V 14B](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 High Noise Expert I2V A14B",file:"wan_v2.2_a14b_hne_i2v_q8p.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",hiresFixScale:16,teaCacheCoefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],framesPerSecond:16,note:"[Wan2.2 I2V A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 High Noise Expert I2V A14B (6-bit, SVDQuant)",file:"wan_v2.2_a14b_hne_i2v_q6p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",hiresFixScale:16,builtinLora:true,teaCacheCoefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],framesPerSecond:16,note:"[Wan2.2 I2V A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 High Noise Expert T2V A14B",file:"wan_v2.2_a14b_hne_t2v_q8p.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:16,teaCacheCoefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],framesPerSecond:16,note:"[Wan2.2 T2V A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 High Noise Expert T2V A14B (6-bit, SVDQuant)",file:"wan_v2.2_a14b_hne_t2v_q6p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:16,builtinLora:true,teaCacheCoefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],framesPerSecond:16,note:"[Wan2.2 T2V A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 Low Noise Expert I2V A14B",file:"wan_v2.2_a14b_lne_i2v_q8p.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",hiresFixScale:16,teaCacheCoefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],framesPerSecond:16,note:"[Wan2.2 I2V A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 Low Noise Expert I2V A14B (6-bit, SVDQuant)",file:"wan_v2.2_a14b_lne_i2v_q6p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",modifier:"inpainting",hiresFixScale:16,builtinLora:true,teaCacheCoefficients:[257151.496,-35422.9917,1402.86849,-13.5890334,.132517977],framesPerSecond:16,note:"[Wan2.2 I2V A14B](https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B) is a state-of-the-art image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length from a given start frame. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 Low Noise Expert T2V A14B",file:"wan_v2.2_a14b_lne_t2v_q8p.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:16,teaCacheCoefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],framesPerSecond:16,note:"[Wan2.2 T2V A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 Low Noise Expert T2V A14B (6-bit, SVDQuant)",file:"wan_v2.2_a14b_lne_t2v_q6p_svd.ckpt",prefix:"",version:"wan_v2.1_14b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.1_video_vae_f16.ckpt",hiresFixScale:16,builtinLora:true,teaCacheCoefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],framesPerSecond:16,note:"[Wan2.2 T2V A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B) is a state-of-the-art text-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 81 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 TI2V 5B",file:"wan_v2.2_5b_ti2v_f16.ckpt",prefix:"",version:"wan_v2.2_5b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.2_video_vae_f16.ckpt",hiresFixScale:16,teaCacheCoefficients:null,framesPerSecond:24,note:"[Wan2.2 TI2V 5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B) is a state-of-the-art text-image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 121 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan 2.2 TI2V 5B (8-bit)",file:"wan_v2.2_5b_ti2v_q8p.ckpt",prefix:"",version:"wan_v2.2_5b",defaultScale:12,textEncoder:"umt5_xxl_encoder_q8p.ckpt",autoencoder:"wan_v2.2_video_vae_f16.ckpt",hiresFixScale:16,teaCacheCoefficients:null,framesPerSecond:24,note:"[Wan2.2 TI2V 5B](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B) is a state-of-the-art text-image-to-video model developed by Alibaba. It can generate video clips of up to 4 seconds in length. The recommended resolutions are 1280\xD7720. The model supports up to 121 frames, with a recommended shift value of 5.0.",copyright:"\xA9 2025 Alibaba"},{name:"Wan v2.2 High Noise Expert T2V A14B Lightning 250928",version:"wan_v2.1_14b",autoencoder:"wan_v2.1_video_vae_f16.ckpt",prefix:"",default_scale:12,hires_fix_scale:16,file:"wan_v2.2_a14b_hne_t2v_lightning_250928_q8p.ckpt",upcast_attention:false,text_encoder:"umt5_xxl_encoder_q8p.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},frames_per_second:16,tea_cache_coefficients:[-303318.725,49053.7029,-2655.30556,58.7365115,-0.315583525],note:"[Wan2.2 High Noise Expert T2V A14B Lightning 250928](https://huggingface.co/lightx2v/Wan2.2-Lightning/tree/main/Wan2.2-T2V-A14B-4steps-250928-dyno) is a fine-tune of Wan v2.2 High Noise Expert model. 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It can generate more dynamic motions with 4 steps and text guidance 1.0.",builtin_lora:true},{name:"Z Image Turbo 1.0",file:"z_image_turbo_1.0_q8p.ckpt",prefix:"",version:"zImage",defaultScale:16,textEncoder:"qwen_3_vl_4b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",hiresFixScale:24,note:"[Z Image Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) is is a powerful and highly efficient image generation model with 6B parameters. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 8 sampling steps recommended.",copyright:"\xA9 2025 Alibaba"},{name:"Z Image Turbo 1.0 (6-bit)",file:"z_image_turbo_1.0_q6p.ckpt",prefix:"",version:"zImage",defaultScale:16,textEncoder:"qwen_3_vl_4b_instruct_q8p.ckpt",autoencoder:"flux_1_vae_f16.ckpt",hiresFixScale:24,note:"[Z Image Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) is is a powerful and highly efficient image generation model with 6B parameters. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 8 sampling steps recommended.",copyright:"\xA9 2025 Alibaba"},{name:"Z Image Turbo 1.0 (Exact)",version:"z_image",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"z_image_turbo_1.0_f16.ckpt",upcast_attention:false,text_encoder:"qwen_3_vl_4b_instruct_f16.ckpt",high_precision_autoencoder:false,objective:{u:{condition_scale:1e3}},note:"[Z Image Turbo](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) is is a powerful and highly efficient image generation model with 6B parameters. It is Apache 2.0-licensed and commercially friendly. The model is trained at multiple resolutions using a Flow Matching objective; trailing samplers yield the best results, with 8 sampling steps recommended."}];});var c={};t(c,{default:()=>w});var 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[Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v40 Detail Calibrated (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"chroma_v40_detail_calibrated_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},mmdit:{dual_attention_layers:[],distilled_guidance_layers:5,qk_norm:true},note:"See more about [Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v41 Detail 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[Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v42 Detail Calibrated",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"chroma_v42_detail_calibrated_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},mmdit:{dual_attention_layers:[],distilled_guidance_layers:5,qk_norm:true},note:"See more about [Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v42 Detail Calibrated 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[Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v43 Detail Calibrated (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"chroma_v43_detail_calibrated_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},mmdit:{dual_attention_layers:[],distilled_guidance_layers:5,qk_norm:true},note:"See more about [Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v44 Detail 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[Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v45 Detail Calibrated",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"chroma_v45_detail_calibrated_q8p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},mmdit:{dual_attention_layers:[],distilled_guidance_layers:5,qk_norm:true},note:"See more about [Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v45 Detail Calibrated 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[Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma v46 Detail Calibrated (5-bit)",version:"flux1",autoencoder:"flux_1_vae_f16.ckpt",prefix:"",default_scale:16,hires_fix_scale:24,file:"chroma_v46_detail_calibrated_q5p.ckpt",upcast_attention:false,text_encoder:"t5_xxl_encoder_q6p.ckpt",clip_encoder:"clip_vit_l14_f16.ckpt",high_precision_autoencoder:true,padded_text_encoding_length:256,objective:{u:{condition_scale:1e3}},mmdit:{dual_attention_layers:[],distilled_guidance_layers:5,qk_norm:true},note:"See more about [Chroma](https://huggingface.co/lodestones/Chroma)."},{name:"Chroma1 HD 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instruction-based image editing. With only 1% trainable parameters (200M) and 0.1% training data (50k) compared to previous methods, ICEdit demonstrates strong generalization capabilities and is capable of handling diverse editing tasks. The model uses the left-side reference image during generation."},{name:"In-Context: Couple Profile",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__couple_profile_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"In-Context: Film Storyboard",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__film_storyboard_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"In-Context: Font Design",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__font_design_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"In-Context: Home Decoration",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__home_decoration_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"In-Context: Portrait Illustration",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__portrait_illustration_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"In-Context: Portrait Photography",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__portrait_photography_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"In-Context: PPT Templates",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__ppt_templates_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"In-Context: Visual Identity Design",prefix:"",is_lo_ha:false,version:"flux1",file:"in_context__visual_identity_design_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5}},{name:"LCM SDXL Base (1.0)",file:"lcm_sd_xl_base_1.0_lora_f16.ckpt",prefix:"",version:"sdxl_base_v0.9",isConsistencyModel:true},{name:"LCM SDXL Refiner (1.0)",file:"lcm_sd_xl_refiner_1.0_lora_f16.ckpt",prefix:"",version:"sdxl_refiner_v0.9",isConsistencyModel:true},{version:"ssd_1b",file:"lcm_ssd_1b_lora_f16.ckpt",prefix:"",name:"LCM SSD 1B (Segmind)"},{name:"LCM Stable Diffusion v1.5",file:"lcm_sd_v1.5_lora_f16.ckpt",prefix:"",version:"v1",isConsistencyModel:true},{name:"Long Hair Slider",prefix:"",is_lo_ha:false,version:"sdxl_base_v0.9",file:"long_hair_slider_lora_f16.ckpt"},{name:"Mascular Slider",prefix:"",is_lo_ha:false,version:"sdxl_base_v0.9",file:"mascular_slider_lora_f16.ckpt"},{version:"v1",name:"Moxin Shukezouma v1.1",prefix:"shukezouma ",file:"moxin_shukezouma_v1.1_lora_f16.ckpt"},{version:"v1",file:"moxin_v1.0_lora_f16.ckpt",name:"Moxin v1.0",prefix:"shuimobysim "},{name:"Object Removal for FLUX.1 Fill v2",prefix:"",is_lo_ha:false,version:"flux1",file:"object_removal_for_flux.1_fill_v2_lora_f16.ckpt",weight:{value:1,lower_bound:-1.5,upper_bound:2.5},note:"This is an Object Removal LoRA fine-tuned from Flux Fill Dev model by [lrzjason](https://huggingface.co/lrzjason). 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Helper",keyword:"vintagehelper",file:"vintagehelper_ti_f16.ckpt",length:8,version:"v2"}];});var v={};t(v,{default:()=>T});var T,x=i(()=>{T=[{name:"Real-ESRGAN X2+",scale_factor:2,file:"realesrgan_x2plus_f16.ckpt",blocks:23,official:true},{name:"Real-ESRGAN X4+",scale_factor:4,file:"realesrgan_x4plus_f16.ckpt",blocks:23,official:true},{name:"Real-ESRGAN X4+ Anime",scale_factor:4,file:"realesrgan_x4plus_anime_6b_f16.ckpt",blocks:6,official:true},{name:"UniversalUpscaler V2 Sharp",scale_factor:4,file:"esrgan_4x_universal_upscaler_v2_sharp_f16.ckpt",blocks:23,official:true},{name:"Remacri",scale_factor:4,file:"remacri_4x_f16.ckpt",blocks:23,official:true},{name:"4x UltraSharp",scale_factor:4,file:"4x_ultrasharp_f16.ckpt",blocks:23,official:true}];});async function P(){let{default:e}=await Promise.resolve().then(()=>(a(),o)),{default:_}=await Promise.resolve().then(()=>(l(),c)),{default:n}=await Promise.resolve().then(()=>(s(),r)),{default:m}=await Promise.resolve().then(()=>(d(),p)),{default:g}=await Promise.resolve().then(()=>(u(),f)),{default:k}=await Promise.resolve().then(()=>(x(),v));return {models:e,uncurated:_,controlNets:n,loras:m,textualInversions:g,upscalers:k}}
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export{P as getBridgeModeModels};//# sourceMappingURL=index.esm.js.map
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//# sourceMappingURL=index.esm.js.map
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