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("Chunte/flux-lora-Huggieverse")
prompt = "HGGRE, happy star in universe"
image = pipe(prompt).images[0]Gallery
- Prompt
- HGGRE, happy star in universe
- Prompt
- Happy, HGGRE, yellow round head playing a violin with two hands
- Prompt
- HGGRE, Happy lemon
- Prompt
- HGGRE, a metal shield with a cute happy face on it
- Prompt
- HGGRE, happy starfish in ocean
Model description
Trigger words
You should use HGGRE to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at Replicate.com
Training was done using replicate.com/ostris/flux-dev-lora-trainer/train.
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Model tree for Chunte/flux-lora-Huggieverse
Base model
black-forest-labs/FLUX.1-dev