Instructions to use Kvikontent/midjourney-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kvikontent/midjourney-v6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kvikontent/midjourney-v6") prompt = "ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Using on Google Colab this dataset is giving error while running
#8
by Shambhavi23 - opened
Error
Could not parse server response
css.ts:28 Unable to preload CSS for https://gradio.s3-us-west-2.amazonaws.com/assets/index-BLavTiqJ.css
(anonymous) @ css.ts:28
index.js:462 Too many arguments provided for the endpoint.
Rt @ index.js:462
/run/predict:1
Failed to load resource: the server responded with a status of 404 ()