import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("roktimsardar123/gemene-cat-lora")
prompt = "GEMENE cat, as a king, wearing a crown"
image = pipe(prompt).images[0]gemene-cat-lora
Model trained with AI Toolkit by Ostris
- Prompt
- GEMENE cat, as a king, wearing a crown
- Prompt
- GEMENE cat, sleeping in bed
- Prompt
- GEMENE cat, in a dark room, staring at the person
Trigger words
You should use GEMENE cat to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('roktimsardar123/gemene-cat-lora', weight_name='gemene-cat-lora.safetensors')
image = pipeline('GEMENE cat, as a king, wearing a crown').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for roktimsardar123/gemene-cat-lora
Base model
black-forest-labs/FLUX.1-dev