metadata
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
memestylx, smiling hulk crypto coin, make everyone happy, all within a
circular emblem
output:
url: samples/1749824248450__000000800_0.jpg
- text: memestylx, flappy bird, takes you to height, all within a circular emblem
output:
url: samples/1749824279180__000000800_1.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: memestylx
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
meme-token
Model trained with AI Toolkit by Ostris
- Prompt
- memestylx, smiling hulk crypto coin, make everyone happy, all within a circular emblem
- Prompt
- memestylx, flappy bird, takes you to height, all within a circular emblem
Trigger words
You should use memestylx 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('azad-uddin/meme-token', weight_name='meme-token.safetensors')
image = pipeline('memestylx, smiling hulk crypto coin, make everyone happy, all within a circular emblem').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers