Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
city
person
color grading
scenery
style
woman
cinematic
man
landscape
Instructions to use e-n-v-y/envy-awesomizer-xl-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use e-n-v-y/envy-awesomizer-xl-01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("e-n-v-y/envy-awesomizer-xl-01") prompt = "awesomize, anime style, digital painting, morning, blue sky, clouds, scenery, far-future Mizuiro Kaiwai interior of an airship" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 60e8ad87ec9605a84c593c8602cdbd533afb663f60f6f8f109caddd7ff9d0475
- Size of remote file:
- 46.7 MB
- SHA256:
- 3e12af10390692f3174b439dd3bb7e2716cd39c324502ef0dab34a5cfe8bd26a
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