Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
style
woman
man
hair
haircut
hairstyle
styles
hairs
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("Keltezaa/crazy-hair")
prompt = " "
image = pipe(prompt).images[0]CRAZY HAIR
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Model description
Here is a LoRA model that I primarily designed to achieve very expressive and voluminous hair, which works well both on photorealistic images and toon-style characters.
Training: 2000 steps
Trigger: oxwn_crazy_hair
Enjoy !
Trigger words
You should use oxwn_crazy_hair to trigger the image generation.
Download model
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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/crazy-hair', weight_name='oxwn_crazy_hair_000002000.safetensors')
image = pipeline('`oxwn_crazy_hair`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for Keltezaa/crazy-hair
Base model
black-forest-labs/FLUX.1-dev