Instructions to use devidasjadhav1/krishnalora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use devidasjadhav1/krishnalora 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("devidasjadhav1/krishnalora") prompt = "A Krishna in snow" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
krishnalora
Model trained with AI Toolkit by Ostris

- Prompt
- A Krishna in snow

- Prompt
- A Krishna solving chemistry equation on board

- Prompt
- A Krishna playing video game
Trigger words
You should use Krishna 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('devidasjadhav1/krishnalora', weight_name='krishnalora.safetensors')
image = pipeline('A Krishna in snow').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 devidasjadhav1/krishnalora
Base model
black-forest-labs/FLUX.1-dev