Instructions to use ronnykhalil/dizmrz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ronnykhalil/dizmrz 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("ronnykhalil/dizmrz") prompt = "firefly surreal DIZMRZ style" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("ronnykhalil/dizmrz")
prompt = "firefly surreal DIZMRZ style"
image = pipe(prompt).images[0]dizmrz
Model trained with AI Toolkit by Ostris

- Prompt
- firefly surreal DIZMRZ style

- Prompt
- surreal eyeball monster DIZMRZ style

- Prompt
- snake swallowed an elephant DIZMRZ style
Trigger words
You should use DIZMRZ style 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('ronnykhalil/dizmrz', weight_name='dizmrz')
image = pipeline('firefly surreal DIZMRZ style').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 ronnykhalil/dizmrz
Base model
black-forest-labs/FLUX.1-dev