For business inquires, commercial licensing, custom models, and consultation contact me under juggernaut@rundiffusion.com
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Juggernaut is available on the new Auto1111 Forge on RunDiffusion
JuggernautXL V9 + RunDiffusion Photo 2 on Hugging Face
Juggernaut + RunDiffusion Photo2 Lightning 4 Steps on Hugging Face
A big thanks for Version 9 goes to RunDiffusion (Photo Model) and Adam, who diligently helped me test :) (Leave some love for them ;) )
I'm back so quickly :D
This time I'll spare you a lot of talk. Over the past 2 months, there has been repeated demand for a Turbo and/or LCM checkpoint. However, I wasn't completely convinced by either option. The Lightning LoRA's seem a bit more mature to me and ultimately delivered the best results in tests among these 3 options. Additionally, the fact that I don't have to change the license here is certainly an additional plus for me and for you :)
In the end, I decided to take the first step for the 4 Steps LoRA and merged it with Juggernaut V9. However, I will probably also release the 8 Steps version in the next few days. Regarding the fundamental quality, I still recommend the full V9 checkpoint for the best possible quality. But especially for people with less hardware power, this version will benefit them and they will be able to generate images very quickly :) So if you haven't yet had the pleasure of experiencing Juggernaut, this might be the perfect opportunity :)
Res: 832*1216
Sampler: DPM++ SDE
Steps: 4-6
CFG: 1-2
Negative: Start with no negative, and add afterwards the Stuff you don´t wanna see in that image.
HiRes: 4x_NMKD-Siax_200k with 2 Steps and 0.35 Denoise + 1.5 Upscale
Res: 832*1216
Sampler: DPM++ 2M Karras
Steps: 30-40
CFG: 3-7 (less is a bit more realistic)
Negative: Start with no negative, and add afterwards the Stuff you don´t wanna see in that image. I don´t recommend using my Negative Prompt, i simply use it because i am lazy :D
VAE is already Baked In
HiRes: 4xNMKD-Siax_200k with 15 Steps and 0.3 Denoise + 1.5 Upscale
And a few keywords/tokens that I regularly use in training, which might help you achieve the optimal result from the version:
Architecture Photography
Wildlife Photography
Car Photography
Food Photography
Interior Photography
Landscape Photography
Hyperdetailed Photography
Cinematic
Movie Still
Mid Shot Photo
Full Body Photo
Skin Details
And now, have fun trying it out. As always, I'm eagerly waiting for your pictures in the Gallery :)
If you liked the model, please leave a review. In the end, that's what helps me the most as a creator on CivitAI. :)
Last but not least, I'd like to thank a few people without whom Juggernaut XL probably wouldn't have come to fruition:
## Overview - **Model ID**: `juggernautxl-v9-rundiffus` - **Category**: stable diffusion xl - **Provider**: modelslab - **Status**: model_ready - **Screenshot**: `https://assets.modelslab.com/generations/81527b94-dc87-4c2c-8f75-011ad073bbfa-0.png` ## API Information This model can be used via our HTTP API. See the API documentation and usage examples below. ### Endpoint - **URL**: `https://modelslab.com/api/v6/images/text2img` - **Method**: POST ### Parameters - **`prompt`** (required): prompt help in image generation - Type: textarea - Example: Enter prompt - **`model_id`** (required): Enter model_id that can help in image generation - Type: text - Example: Enter model_id here - **`lora_model`** (required): - Type: multiple_models - **`width`** (required): width of the image - Type: number (range: 512-1024) - **`height`** (required): height of the image - Type: number (range: 512-1024) - **`negative_prompt`** (optional): Negative prompt help in avoid things that you do not want in image - Type: textarea - Example: Enter negative prompt that you do not want see in image - **`scheduler`** (optional): - Type: select (options: DPM++ 2M, DPM++ SDE, Euler, Euler a) - **`guidance_scale`** (optional): - Type: number (range: 1-10) ## Usage Examples ### cURL ```bash curl --request POST \ --url https://modelslab.com/api/v6/images/text2img \ --header "Content-Type: application/json" \ --data '{ "key": "YOUR_API_KEY", "model_id": "juggernautxl-v9-rundiffus", "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro", "width": "1024", "height": "1024", "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry", "scheduler": "DPMSolverMultistepScheduler", "guidance_scale": "7.5" }' ``` ### Python ```python import requests response = requests.post( "https://modelslab.com/api/v6/images/text2img", headers={ "Content-Type": "application/json" }, json={ "key": "YOUR_API_KEY", "model_id": "juggernautxl-v9-rundiffus", "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro", "width": "1024", "height": "1024", "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry", "scheduler": "DPMSolverMultistepScheduler", "guidance_scale": "7.5" } ) print(response.json()) ``` ### JavaScript ```javascript fetch("https://modelslab.com/api/v6/images/text2img", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ "key": "YOUR_API_KEY", "model_id": "juggernautxl-v9-rundiffus", "prompt": "R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro", "width": "1024", "height": "1024", "negative_prompt": "(worst quality:2), (low quality:2), (normal quality:2), (jpeg artifacts), (blurry), (duplicate), (morbid), (mutilated), (out of frame), (extra limbs), (bad anatomy), (disfigured), (deformed), (cross-eye), (glitch), (oversaturated), (overexposed), (underexposed), (bad proportions), (bad hands), (bad feet), (cloned face), (long neck), (missing arms), (missing legs), (extra fingers), (fused fingers), (poorly drawn hands), (poorly drawn face), (mutation), (deformed eyes), watermark, text, logo, signature, grainy, tiling, censored, nsfw, ugly, blurry eyes, noisy image, bad lighting, unnatural skin, asymmetry", "scheduler": "DPMSolverMultistepScheduler", "guidance_scale": "7.5" }) }) .then(response => response.json()) .then(data => console.log(data)); ``` ## Links - [Model Playground](https://modelslab.com/models/community-model/juggernautxl-v9-rundiffus) - [API Documentation](https://docs.modelslab.com) - [ModelsLab Platform](https://modelslab.com)