Instructions to use ajgazin/steampunkanimalsfp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ajgazin/steampunkanimalsfp8 with Diffusers:
pip install -U diffusers transformers accelerate
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/steampunkanimalsfp8") prompt = "Four different steampunk animals next to each other steampunk_animals" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
steampunkanimalsfp8
Model trained with AI Toolkit by Ostris

- Prompt
- Four different steampunk animals next to each other steampunk_animals

- Prompt
- A gleaming, mechanical, steampunk-style elephant steampunk_animals

- Prompt
- An intricate, steampunk-style praying mantis steampunk_animals

- Prompt
- A large, fully-sized Rhino (Rhinoceros) with a sharp copper horn, pictured from afar in the African savannah 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/steampunkanimalsfp8', weight_name='steampunkanimalsfp8.safetensors')
image = pipeline('Four different 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
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Model tree for ajgazin/steampunkanimalsfp8
Base model
black-forest-labs/FLUX.1-dev