File size: 1,405 Bytes
b055d04 93c10b2 b055d04 93c10b2 b055d04 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
---
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
# widget:
# - text: >-
# prompt
# output:
# url: https://...
instance_prompt: TOK
---
# Malika
<Gallery />
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
# 1. Realistic Vision modelini yükle
pipeline = AutoPipelineForText2Image.from_pretrained(
"prithivMLmods/Canopus-LoRA-Flux-UltraRealism-2.0",
torch_dtype=torch.float16
).to("cuda")
# 2. LoRA'yı zorla yükle (alpha=0.5 ile gücünü azaltın)
pipeline.load_lora_weights(
"codermert/ozgeefinal",
weight_name="lora.safetensors",
adapter_name="fluxx",
cross_attention_scale=0.5 # LoRA etkisini hafiflet
)
# 3. Promptta hem trigger hem stil vurgusu yapın
image = pipeline(
prompt="portrait of TOK, <fluxx>, photorealistic, 8K", # TOK + adapter_name
negative_prompt="blurry, deformed"
).images[0]
```
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)
|