ye it works better in some images depends on taste
ye it works better in some images depends on taste
Ai hope supir gets faster in further development. Its currently really slow :/ even on a A6000
Atakes around 10 mins to upscale to 3000x3000
FAdmiral Furkan, do any of your videos deal with multi concept checkpoint training and how to tag those images and whether regularisation images are needed for concepts rather than people
GScripts eror.I can't Running on local URL Please advise me?.I'm a new member. And then started learning the basics. Please give me some advice.
VDo did you see this EMO thing... Looks wild right? It can be the open source alternative of heygen..but better ...examples looks promising...
https://www.reddit.com/r/StableDiffusion/comments/1b25pbk/emo_emote_portrait_alive_is_based_on_sd_15/
https://www.reddit.com/r/StableDiffusion/comments/1b25pbk/emo_emote_portrait_alive_is_based_on_sd_15/
Reddit
Explore this post and more from the StableDiffusion community
Fdafuq....
Fit is public?
Fno
VNot as of now..but it it better than heygen..it captures better facial expressions and micro expressions..lip movement and mouth movements..even the eyes as well
VHello doctor, I am using your kohya configuration and A5000 acceleration instructions. The fineturn speed is 1.78s/it. Is this a normal speed? It takes about 5 hours to fine-tune 35 pictures. My goal is to fine-tune a 10k data set. This Time is scary.
@Dr. Furkan Gözükara
@Dr. Furkan GözükaraFcurious what kinda images in the dataset
Vinterior design images
Fwhat are you using to tag?
Fand do you need regulatisation images to train these?
VI also observed that the results were overfitted very early
Vcog
VThe original resolution has reached 1024
Fnot sure i follow?
Twhat about this error:
c:\Supir\SUPIR\venv\lib\site-packages\open_clip\factory.py:213 in create_model │
│ │
│ 210 │ │ │ │ │ f'Pretrained weights ({pretrained}) not found for model {model_name} │
│ 211 │ │ │ │ │ f'Available pretrained tags ({list_pretrained_tags_by_model(model_na │
│ 212 │ │ │ │ logging.warning(error_str) │
│ ❱ 213 │ │ │ │ raise RuntimeError(error_str) │
│ 214 │ │ │ pretrained_loaded = True │
│ 215 │ │ elif has_hf_hub_prefix: │
│ 216 │ │ │ logging.info(f'Loading pretrained {model_name} weights ({pretrained}).') │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
RuntimeError: Pretrained weights (models/open_clip_pytorch_model.bin) not found for model ViT-bigG-14.Available pretrained tags
(['laion2b_s39b_b160k'].
c:\Supir\SUPIR\venv\lib\site-packages\open_clip\factory.py:213 in create_model │
│ │
│ 210 │ │ │ │ │ f'Pretrained weights ({pretrained}) not found for model {model_name} │
│ 211 │ │ │ │ │ f'Available pretrained tags ({list_pretrained_tags_by_model(model_na │
│ 212 │ │ │ │ logging.warning(error_str) │
│ ❱ 213 │ │ │ │ raise RuntimeError(error_str) │
│ 214 │ │ │ pretrained_loaded = True │
│ 215 │ │ elif has_hf_hub_prefix: │
│ 216 │ │ │ logging.info(f'Loading pretrained {model_name} weights ({pretrained}).') │
╰──────────────────────────────────────────────────────────────────────────────────────────────────╯
RuntimeError: Pretrained weights (models/open_clip_pytorch_model.bin) not found for model ViT-bigG-14.Available pretrained tags
(['laion2b_s39b_b160k'].
VWell, non-native English speaker, you know ha ha
FI figured ha, all good
VIt seems like you are also interested in fineturn instead of dreambooth, right?
Ftbh i dont know what's the advantage of either, i thought dreambooth was for finetuning!
VWell, I'm also in the exploratory stage
5Here for history, congrats @Dr. Furkan Gözükara your post is going virtal on twitter
Vwhich one share the link
D@Dr. Furkan Gözükara i am surprised no application has multi prompts for SDXL, its an amazing function which gives much more control on the images. I Used it on through SD official API . By sending 2 positive prompts and one negative. If anyone seen this function please let me know
Fmulti prompts?
Fyou mean one prompt for first text encoder and another prompt to the second text encoder?
Fis not that powerfull!
Dimport fs from "fs";
const options = {
method: "POST",
headers: {
Accept: "application/json",
"content-type": "application/json",
Authorization: "Bearer YOUR_API_KEY"
},
body: JSON.stringify({
samples: 1,
height: 1024,
width: 1024,
steps: 40,
cfg_scale: 5,
textprompts: [
{
"text": "A painting of a cat",
"weight": 1
},
{
"text": "a dog barking",
"weight": 1
},
{
"text": "logo, ",
"weight": -1
}
],
})
};
const response = await fetch(
"https://api.stability.ai/v1/generation/stable-diffusion-xl-1024-v1-0/text-to-image",
options
)
if (!response.ok) {
throw new Error(
}
const responseJSON = await response.json()
responseJSON.artifacts.forEach((image, index) => {
fs.writeFileSync(
`./out/txt2img${image.seed}.png`,
Buffer.from(image.base64, 'base64')
)
});
const options = {
method: "POST",
headers: {
Accept: "application/json",
"content-type": "application/json",
Authorization: "Bearer YOUR_API_KEY"
},
body: JSON.stringify({
samples: 1,
height: 1024,
width: 1024,
steps: 40,
cfg_scale: 5,
textprompts: [
{
"text": "A painting of a cat",
"weight": 1
},
{
"text": "a dog barking",
"weight": 1
},
{
"text": "logo, ",
"weight": -1
}
],
})
};
const response = await fetch(
"https://api.stability.ai/v1/generation/stable-diffusion-xl-1024-v1-0/text-to-image",
options
)
if (!response.ok) {
throw new Error(
Non-200 response: ${await response.text()}}
const responseJSON = await response.json()
responseJSON.artifacts.forEach((image, index) => {
fs.writeFileSync(
`./out/txt2img${image.seed}.png`,
Buffer.from(image.base64, 'base64')
)
});
Fthat doesn't answer
Dboth prompts are flowing through both encoders
Fbut yeah, probably one prompt for each text encoder
Fthat's not possible. it's just a concatenation then
Fit's like sending "A painting of a cat a dog barking"
Dyou can add more than 4 prompts, control the weight for each 1 seperatly.
Fanyway, all apps have that
Fit's called prompt weighting
Dhttps://platform.stability.ai/sandbox/multi-prompting have a look here i think you will be able to generate free images
F(A painting of a cat:0.8) (a dog barking:1.4)
Fthat's how you do it in a1111
Fthere is also other types of blending
FFFThe syntax is ("prompt part 1", "prompt part 2").and(). You can have more than one part, and you can also weight them, eg ("a man eating an apple", "sitting on the roof of a car", "high quality, trending on artstation, 8K UHD").and(1, 0.5, 0.5)
FF
F@Dr. Furkan Gözükara I would like to know what your secret is to make videos with so much work and also having time to make those scripts and posts for Patreon 
VDoc has superpowers. Don't you know..