Stable Diffusion with LoRAs

Stable Diffusion taban modeli ve LoRA’larla görsel üret.

Girdi

* işaretli alanlar zorunlu. Üretmeden önce ücreti kontrol et.

Model Name *

URL or HuggingFace ID of the base model to generate the image.

Komut *

The prompt to use for generating the image. Be as descriptive as possible for best results.

Ic Light Model Background Image

The URL of the IC Light model background image to use for the image generation. Make sure to use a background compatible with the model.

Dosya yüklemek için hesap gerekir. Hesap oluşturJPEG, PNG, WebP · en fazla 25 MB

Ic Light Image

The URL of the IC Light model image to use for the image generation.

Dosya yüklemek için hesap gerekir. Hesap oluşturJPEG, PNG, WebP · en fazla 25 MB

Görsel boyutu

The size of the generated image. You can choose between some presets or custom height and width that **must be multiples of 8**.

Görsel sayısı

Number of images to generate in one request. Note that the higher the batch size, the longer it will take to generate the images.

Ek ayarlar

Unet Name

URL or HuggingFace ID of the custom U-Net model to use for the image generation.

Variant

The variant of the model to use for huggingface models, e.g. 'fp16'.

Negatif komut

İpuçları ve koşullar

The negative prompt to use.Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution).

Prompt Weighting

If set to true, the prompt weighting syntax will be used. Additionally, this will lift the 77 token limit by averaging embeddings.

Loras

The LoRAs to use for the image generation. You can use any number of LoRAs and they will be merged together to generate the final image.

Embeddings

İpuçları ve koşullar

The embeddings to use for the image generation. Only a single embedding is supported at the moment. The embeddings will be used to map the tokens in the prompt to the embedding weights.

Controlnets

İpuçları ve koşullar

The control nets to use for the image generation. You can use any number of control nets and they will be applied to the image at the specified timesteps.

Controlnet Guess Mode

If set to true, the controlnet will be applied to only the conditional predictions.

Ip Adapter

IP adapters for image generation. A non-empty list requires image_encoder_path.

Image Encoder Path

İpuçları ve koşullar

Hugging Face ID or HTTPS URL of the image encoder; required when ip_adapter is non-empty. Choose an encoder compatible with the IP-Adapter weights. For h94/IP-Adapter SDXL weights, use h94/IP-Adapter with image_encoder_subfolder='sdxl_models/image_encoder'; for SD1.5 weights, use image_encoder_subfolder='models/image_encoder'.

Image Encoder Subfolder

Subfolder containing the image encoder weights in image_encoder_path.

Image Encoder Weight Name

The weight name of the image encoder model to use for the image generation.

Ic Light Model URL

The URL of the IC Light model to use for the image generation.

Seed

The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.

Number of inference steps

İpuçları ve koşullar

Increasing the amount of steps tells Stable Diffusion that it should take more steps to generate your final result which can increase the amount of detail in your image.

Yönlendirme ölçeği (CFG)

İpuçları ve koşullar

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.

Clip Skip

Skips part of the image generation process, leading to slightly different results. This means the image renders faster, too.

Scheduler

Scheduler / sampler to use for the image denoising process.

Prediction Type

The type of prediction to use for the image generation. The epsilon is the default.

Rescale Betas Snr Zero

Whether to set the rescale_betas_snr_zero option or not for the sampler

Image Format

The format of the generated image.

Tile Width

The size of the tiles to be used for the image generation.

Tile Height

The size of the tiles to be used for the image generation.

Tile Stride Width

The stride of the tiles to be used for the image generation.

Tile Stride Height

The stride of the tiles to be used for the image generation.

Eta

The eta value to be used for the image generation.

Debug Latents

If set to true, the latents will be saved for debugging.

Debug Per Pass Latents

If set to true, the latents will be saved for debugging per pass.

Modelin yayımladığı bazı girdiler bu formda yok.

Timesteps: İç içe nesne girdileri henüz desteklenmiyor. Gönderilmiyor.
Sigmas: İç içe nesne girdileri henüz desteklenmiyor. Gönderilmiyor.

Fiyat$0,60 / üretim

Önce kayıt olursun. Ayarların saklanır.

Bu girdinin API kodu

API kodunu görmek için zorunlu alanları doldur ve girdi hatalarını düzelt.

Stable Diffusion with LoRAs nasıl kullanılır?

Başlarken

Belirli bir karakter veya tarz için uyumlu model ve LoRA seç. Görselden üretim ve maskeli düzenleme ayrı işlemlerdir.

Sonuç kontrolü

Karakterin tutarlılığına ve tarzın istemediğin alanlara yayılmasına bak; maskeli düzenlemede kenarları incele.

Girdiler ve ayarlar

Varsayılan işlemde model_name ve prompt gerekli. loras eklerken uyumluluğu kontrol et; ağırlıkları karşılaştırırken taban modeli değiştirme.

Görselden üretimde image_url; maskeli düzenlemede kaynak görsel ve mask_url kullan. noise_strength, bu görsel işlemlerine ait bir ayardır.

Girdi

Stable Diffusion with LoRAs nasıl kullanılır?

Başlarken

Sonuç kontrolü

Girdiler ve ayarlar

Diğer modeller