Text-to-Image
Diffusers
English
French
Russian
stable-diffusion
midjourney
mj-style
lora
template:sd-lora
openskyml
Instructions to use openskyml/midjourney-v4-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/midjourney-v4-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lykon/dreamshaper-7", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("openskyml/midjourney-v4-xl") prompt = "Chromatic Maestro: An abstract character portrait of a talented musician, with his face immersed in a whirlwind of chromatic colors and musical notes. The artist's use of bold brushstrokes and abstract musical symbols captures the character's passion and artistic spirit" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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widget:
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- text: >-
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Chromatic Maestro: An abstract character portrait of a talented musician,
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Try a model very similar to Midjourney V4!
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## Trigger words
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You should use `DeepJourney` to trigger the image generation.
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You should use `deepjourney` to trigger the image generation.
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You should use `<lora:Midjourney:1>` to trigger the image generation.
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## Download model
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tags:
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- text-to-image
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- stable-diffusion
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- midjourney
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- mj-style
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- lora
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- diffusers
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- template:sd-lora
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- openskyml
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widget:
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- text: >-
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Chromatic Maestro: An abstract character portrait of a talented musician,
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Try a model very similar to Midjourney V4!
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## Download model
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