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Model A
選擇模型(LoRA)
Model B
選擇模型(LoRA)
Model.A+Model.B: Input
Model.A+Model.B: Middle
Model.A+Model.B: Output
Model.A+Model.B: Clip Merge
Model C
選擇模型(LoRA)
Merge+Model.C: Input
Merge+Model.C: Middle
Merge+Model.C: Output
Merge+Model.C: Clip Merge
LoRA 1
選擇模型(LoRA)
LoRA Strength 1
LoRA 2
選擇模型(LoRA)
LoRA Strength 2
LoRA 3
選擇模型(LoRA)
LoRA Strength 3
LoRA 4
選擇模型(LoRA)
LoRA Strength 4
LoRA 5
選擇模型(LoRA)
LoRA Strength 5
Seed Number
隨機
自定義
Sampler
euler
euler_cfg_pp
euler_ancestral
euler_ancestral_cfg_pp
heun
heunpp2
dpm_2
dpm_2_ancestral
lms
dpm_fast
dpm_adaptive
dpmpp_2s_ancestral
dpmpp_2s_ancestral_cfg_pp
dpmpp_sde
dpmpp_sde_gpu
dpmpp_2m
dpmpp_2m_alt
dpmpp_2m_cfg_pp
dpmpp_2m_sde
dpmpp_2m_sde_gpu
dpmpp_3m_sde
dpmpp_3m_sde_gpu
ddpm
lcm
ipndm
ipndm_v
deis
res_multistep
res_multistep_cfg_pp
res_multistep_ancestral
res_multistep_ancestral_cfg_pp
gradient_estimation
ddim
uni_pc
uni_pc_bh2
supreme
dpmpp_3m_sde_dynamic_eta
euler_ancestral_dancing
lcm_custom_noise
ttm
clyb_4m_sde_momentumized
dpmpp_dualsde_momentumized
res_momentumized
k_euler
k_euler_a
k_lcm
No data
Scheduler
normal
karras
exponential
sgm_uniform
simple
ddim_uniform
beta
linear_quadratic
kl_optimal
ays
ays+
ays_30
ays_30+
gits
No data
Vae
ClearVAE_2.3.safetensors
Stable-Cascade/effnet_encoder.safetensors
Stable-Cascade/stage_a.safetensors
Wan2_1_VAE_bf16.safetensors
ae.sft
autoencoder_fix_kl-f8-trinart_characters.ckpt
comfy/wan2.1/wan_2.1_vae.safetensors
cosmos_cv8x8x8_1.0.safetensors
hunyuan/hunyuan_video_vae_bf16.safetensors
hunyuan/hunyuan_video_vae_fp32.safetensors
kl-f8-anime2.ckpt
mochi_preview_vae_decoder_bf16.safetensors
mochi_preview_vae_encoder_bf16_.safetensors
mochi_preview_vae_encoder_fp32.safetensors
models--mit-han-lab--dc-ae-f32c32-sana-1.0-diffusers/diffusion_pytorch_model.safetensors
openai_consistency_decoder/decoder.pt
orangemix.vae.pt
sdxl_vae-fp16fix-blessed.safetensors
sdxl_vae-fp16fix-c-0.8-b-0.8.safetensors
sdxl_vae-fp16fix-c-0.8-b-0.9.safetensors
sdxl_vae-fp16fix-c-0.8.safetensors
sdxl_vae-fp16fix-c-0.9-b-0.9.safetensors
sdxl_vae-fp16fix-c-0.9.safetensors
sdxl_vae-fp16fix-c-1.1-b-0.5.safetensors
sdxl_vae-fp16fix-c-1.2-b-0.5.safetensors
sdxl_vae-fp16fix-c-1.2-b-0.7.safetensors
sdxl_vae.safetensors
stableDiffusion35VAE_official.safetensors
vae-ft-ema-560000-ema-pruned.ckpt
vae-ft-mse-840000-ema-pruned.ckpt
vae-ft-mse-840000-ema-pruned.safetensors
vae_approx/taef1_decoder.pth
vae_approx/taef1_encoder.pth
vae_approx/taesd3_decoder.pth
vae_approx/taesd3_encoder.pth
vae_approx/taesd_decoder.pth
vae_approx/taesd_encoder.pth
vae_approx/taesdxl_decoder.pth
vae_approx/taesdxl_encoder.pth
taesd
taesdxl
taesd3
taef1
No data
CGF Scale
Enter Prompt
Enter Negative Prompt
Latent Upscale: Sampler
euler
euler_cfg_pp
euler_ancestral
euler_ancestral_cfg_pp
heun
heunpp2
dpm_2
dpm_2_ancestral
lms
dpm_fast
dpm_adaptive
dpmpp_2s_ancestral
dpmpp_2s_ancestral_cfg_pp
dpmpp_sde
dpmpp_sde_gpu
dpmpp_2m
dpmpp_2m_alt
dpmpp_2m_cfg_pp
dpmpp_2m_sde
dpmpp_2m_sde_gpu
dpmpp_3m_sde
dpmpp_3m_sde_gpu
ddpm
lcm
ipndm
ipndm_v
deis
res_multistep
res_multistep_cfg_pp
res_multistep_ancestral
res_multistep_ancestral_cfg_pp
gradient_estimation
ddim
uni_pc
uni_pc_bh2
supreme
dpmpp_3m_sde_dynamic_eta
euler_ancestral_dancing
lcm_custom_noise
ttm
clyb_4m_sde_momentumized
dpmpp_dualsde_momentumized
res_momentumized
k_euler
k_euler_a
k_lcm
No data
Latent Upscale: Scheduler
normal
karras
exponential
sgm_uniform
simple
ddim_uniform
beta
linear_quadratic
kl_optimal
ays
ays+
ays_30
ays_30+
gits
No data
Latent Upscale: Denoise
Upscale By: Model
4x-AnimeSharp.pth
4x-UltraSharp.pth
4xNomos8kSCHAT-L.pth
4x_NMKD-Siax_200k.pth
4x_NMKD-Superscale-SP_178000_G.pth
4x_Valar_v1.pth
4x_foolhardy_Remacri.pth
4x_foolhardy_Remacri_v0.1.pth
8x_NMKD-Faces_160000_G.pth
8x_NMKD-Superscale_150000_G.pth
ESRGAN_4x.pth
HAT_SRx4_ImageNet-pretrain.pth
RealESRGAN_x2.pth
RealESRGAN_x2plus.pth
RealESRGAN_x4.pth
RealESRGAN_x4plus.pth
RealESRGAN_x4plus_anime_6B.pth
Real_HAT_GAN_sharper.pth
SwinIR_4x.pth
fooocus_upscaler_s409985e5.bin
ldsr/last.ckpt
No data
Upscale By: Method
nearest-exact
bilinear
area
bicubic
lanczos
No data
Face Detailer: Denoise
Face Detailer: Prompt
Face Detailer: Negative
創作
(預估消耗:36)
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原創 - 創作者激勵計劃
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Chronos Dragon
關註
2024-07-02 06:20:55 更新
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