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("ajgazin/steampunkanimals")
prompt = "A variety of steampunk animals next to each other steampunk_animals"
image = pipe(prompt).images[0]steampunkanimals
Model trained with AI Toolkit by Ostris
- Prompt
- A variety of steampunk animals next to each other steampunk_animals
- Prompt
- A copper-hued mechanical turtle steampunk_animals
- Prompt
- A steampunk-style praying mantis steampunk_animals
- Prompt
- A large, fully-sized steampunk-style Rhino steampunk_animals
- Prompt
- A steampunk-style copper cat in denim steampunk_animals
Trigger words
You should use steampunk_animals 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('sohvren/steampunkanimals', weight_name='steampunkanimals.safetensors')
image = pipeline('A variety of steampunk animals next to each other steampunk_animals').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
- 20
Model tree for ajgazin/steampunkanimals
Base model
black-forest-labs/FLUX.1-dev