Korean BEST Leaderboard
Collection
A curated collection of the best Korean-developed spaces and models released on Hugging Face • 221 items • Updated • 100
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("openfree/pepe")
prompt = "A person in a bustling cafe pepe"
image = pipe(prompt).images[0]pepe
- Prompt
- A person in a bustling cafe pepe
- Prompt
- A pepe
- Prompt
- A pepe
- Prompt
- A pepe
Trigger words
You should use pepe 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('openfree/pepe', weight_name='pepe.safetensors')
image = pipeline('A person in a bustling cafe pepe').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
- Downloads last month
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Model tree for openfree/pepe
Base model
black-forest-labs/FLUX.1-dev