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flux-schnell-realism
hugovntr/flux-schnell-realism
flux-schnell-realism is a text-to-image model from hugovntr. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as apache-2.0.
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At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Access
- Public
- Created
- Sep 7, 2024
- Updated
- Sep 21, 2024
- SHA
- fb996205
Base models
Model card
From the Hugging Face model README
LoRA checkpoint aiming to improve FLUX.1 [schnell] photorealism.
The weights are provided as .safetensors file, so they are suited for every use-cases, including but not limited to:
- SD-WebUI
- ComfyUI
- InvokeAI
- Forge
- diffusers
- ...
Changelog
- Sep. 21st 2024 - Uploaded v2.3, trained on 1000+ synthetic images manually captionned
- Sep. 7th 2024 - Uploaded v1, trained on 100+ synthetic images manually captionned
Training details
This checkpoint has been trained with a small dataset of 1000+ synthetic images generated and upscaled using Runtime44 All images have been manually captionned without any specific trigger word.
Training was done using kohya-ss scripts on a local machine with 16Gb of VRAM and took ~1h
Usage
With 🧨Diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('hugovntr/flux-schnell-realism', weight_name='schnell-realism_v1')
image = pipeline('Moody kitchen at dusk, warm golden ...').images[0]
image.save("output.png")
- Task
- Text-to-Image
- Library
- diffusers
- License
- apache-2.0
- Languages
- en
- Wavespeed
- live
- Created
- Sep 7, 2024
- Updated
- Sep 21, 2024