Full Training Tutorial and Guide and Research For a FLUX Style
•
5
Furkan Gözükara
MonsterMMORPG
AI & ML interests
Check out my youtube page SECourses for Stable Diffusion tutorials. They will help you tremendously in every topic
Recent Activity
replied to
their
post
about 11 hours ago
FLUX Redux is a hidden Gem
I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI
Style Model Merge Strength : 0.5
FLUX Guidance Scale is : 6
Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch
Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime
Reacted to
their
post
with 🤯
1 day ago
FLUX Redux is a hidden Gem
I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI
Style Model Merge Strength : 0.5
FLUX Guidance Scale is : 6
Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch
Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime
Reacted to
their
post
with 🤝
1 day ago
FLUX Redux is a hidden Gem
I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI
Style Model Merge Strength : 0.5
FLUX Guidance Scale is : 6
Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch
Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime
Articles
Organizations
MonsterMMORPG's activity
replied to
their
post
about 11 hours ago
I find 0 best atm
Reacted to
their
post with 🤯🤝👍🧠➕😎🤗❤️👀🚀🔥
1 day ago
Post
845
FLUX Redux is a hidden Gem
I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI
Style Model Merge Strength : 0.5
FLUX Guidance Scale is : 6
Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch
Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime
I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI
Style Model Merge Strength : 0.5
FLUX Guidance Scale is : 6
Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch
Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime
-
- 2 replies
posted
an
update
1 day ago
Post
845
FLUX Redux is a hidden Gem
I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI
Style Model Merge Strength : 0.5
FLUX Guidance Scale is : 6
Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch
Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime
I am still doing huge research to publish an amazing fully Public - no paywalled Tutorial, but this is generated via SwarmUI
Style Model Merge Strength : 0.5
FLUX Guidance Scale is : 6
Used base model is my FLUX fine tuned model with 256 images via Kohya SS GUI as shown in tutorial ( https://youtu.be/FvpWy1x5etM ) - 70 epoch
Prompt : anime ohwx man walking in a jungle <segment:yolo-face_yolov9c.pt-1,0.7,0.5> ohwx man, anime
-
-
- 2 replies
updated
2
models
3 days ago
posted
an
update
5 days ago
Post
562
NVIDIA Labs developed SANA model weights and Gradio demo app published —Check out this amazing new Text to Image model by NVIDIA
Official repo : https://github.com/NVlabs/Sana
1-Click Windows, RunPod, Massed Compute installers and free Kaggle notebook : https://www.patreon.com/posts/116474081
You can follow instructions on the repository to install and use locally. I tested on my Windows RTX 3060 and 3090 GPUs.
I have tested some speeds and VRAM usage too
Uses 9.5 GB VRAM but someone reported works good on 8 GB GPUs too
Default settings per image speeds as below
Free Kaggle Account Notebook on T4 GPU : 15 second
RTX 3060 (12 GB) : 9.5 second
RTX 3090 : 4 second
RTX 4090 : 2 second
More info : https://nvlabs.github.io/Sana/
Works great on RunPod and Massed Compute as well (cloud)
Sana : Efficient High-Resolution Image Synthesis
with Linear Diffusion Transformer
About Sana — Taken from official repo
We introduce Sana, a text-to-image framework that can efficiently generate images up to 4096 × 4096 resolution. Sana can synthesize high-resolution, high-quality images with strong text-image alignment at a remarkably fast speed, deployable on laptop GPU. Core designs include: Deep compression autoencoder: unlike traditional AEs, which compress images only 8×, we trained an AE that can compress images 32×, effectively reducing the number of latent tokens. Linear DiT: we replace all vanilla attention in DiT with linear attention, which is more efficient at high resolutions without sacrificing quality. Decoder-only text encoder: we replaced T5 with modern decoder-only small LLM as the text encoder and designed complex human instruction with in-context learning to enhance the image-text alignment. Efficient training and sampling: we propose Flow-DPM-Solver to reduce sampling steps, with efficient caption labeling and selection to accelerate convergence.
Official repo : https://github.com/NVlabs/Sana
1-Click Windows, RunPod, Massed Compute installers and free Kaggle notebook : https://www.patreon.com/posts/116474081
You can follow instructions on the repository to install and use locally. I tested on my Windows RTX 3060 and 3090 GPUs.
I have tested some speeds and VRAM usage too
Uses 9.5 GB VRAM but someone reported works good on 8 GB GPUs too
Default settings per image speeds as below
Free Kaggle Account Notebook on T4 GPU : 15 second
RTX 3060 (12 GB) : 9.5 second
RTX 3090 : 4 second
RTX 4090 : 2 second
More info : https://nvlabs.github.io/Sana/
Works great on RunPod and Massed Compute as well (cloud)
Sana : Efficient High-Resolution Image Synthesis
with Linear Diffusion Transformer
About Sana — Taken from official repo
We introduce Sana, a text-to-image framework that can efficiently generate images up to 4096 × 4096 resolution. Sana can synthesize high-resolution, high-quality images with strong text-image alignment at a remarkably fast speed, deployable on laptop GPU. Core designs include: Deep compression autoencoder: unlike traditional AEs, which compress images only 8×, we trained an AE that can compress images 32×, effectively reducing the number of latent tokens. Linear DiT: we replace all vanilla attention in DiT with linear attention, which is more efficient at high resolutions without sacrificing quality. Decoder-only text encoder: we replaced T5 with modern decoder-only small LLM as the text encoder and designed complex human instruction with in-context learning to enhance the image-text alignment. Efficient training and sampling: we propose Flow-DPM-Solver to reduce sampling steps, with efficient caption labeling and selection to accelerate convergence.
updated
2
models
6 days ago
updated
a
model
7 days ago
updated
a
model
8 days ago