Instructions to use seawolf2357/test-hat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use seawolf2357/test-hat 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("seawolf2357/test-hat") prompt = "a man standing in a black coat and hat, with a pair of goggles in his hand. The background is dark, creating a stark contrast between the man and his surroundings. [trigger]" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
test-hat

- Prompt
- a man standing in a black coat and hat, with a pair of goggles in his hand. The background is dark, creating a stark contrast between the man and his surroundings. [trigger]
Trigger words
You should use hat 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('seawolf2357/test-hat', weight_name='test-hat.safetensors')
image = pipeline('a man standing in a black coat and hat, with a pair of goggles in his hand. The background is dark, creating a stark contrast between the man and his surroundings. [trigger]').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 seawolf2357/test-hat
Base model
black-forest-labs/FLUX.1-dev