|
|
--- |
|
|
license: other |
|
|
license_name: flux-1-dev-non-commercial-license |
|
|
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- flux |
|
|
- diffusers |
|
|
- lora |
|
|
- replicate |
|
|
base_model: "black-forest-labs/FLUX.1-dev" |
|
|
pipeline_tag: text-to-image |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
instance_prompt: TOK |
|
|
--- |
|
|
|
|
|
# Gamzekocc_Fluxx |
|
|
|
|
|
<Gallery /> |
|
|
|
|
|
Trained on Replicate using: |
|
|
|
|
|
https://replicate.com/ostris/flux-dev-lora-trainer/train |
|
|
|
|
|
|
|
|
## Trigger words |
|
|
You should use `TOK` to trigger the image generation. |
|
|
|
|
|
|
|
|
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
|
|
|
|
|
```py |
|
|
from diffusers import AutoPipelineForText2Image, AutoencoderKL |
|
|
import torch |
|
|
|
|
|
# 1. Ana modeli yükle |
|
|
pipeline = AutoPipelineForText2Image.from_pretrained( |
|
|
"SG161222/Realistic_Vision_V6.0_B1_noVAE", |
|
|
torch_dtype=torch.float16, |
|
|
variant="fp16" |
|
|
).to("cuda") |
|
|
|
|
|
# 2. VAE ekle (opsiyonel) |
|
|
pipeline.vae = AutoencoderKL.from_pretrained( |
|
|
"stabilityai/sd-vae-ft-mse", |
|
|
torch_dtype=torch.float16 |
|
|
).to("cuda") |
|
|
|
|
|
# 3. LoRA'yı yükle |
|
|
pipeline.load_lora_weights( |
|
|
"codermert/gamzekocc_fluxx", |
|
|
weight_name="lora.safetensors", |
|
|
adapter_name="fluxx_style" |
|
|
) |
|
|
|
|
|
# 4. Görüntü oluştur |
|
|
image = pipeline( |
|
|
prompt="portrait of a cyber ninja, <fluxx_style>, ultra-detailed, 8K", |
|
|
negative_prompt="blurry, cartoon, deformed", |
|
|
num_inference_steps=30 |
|
|
).images[0] |
|
|
|
|
|
image.save("cyber_ninja.png") |
|
|
``` |
|
|
|
|
|
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) |
|
|
|
