Instructions to use hugger666666/DREAMLY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hugger666666/DREAMLY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("hugger666666/DREAMLY") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" is not allowed to be empty
DREAMLY

- Prompt
- Screenshot
Model description
m15510n4ry bl0wj0b c0wg1rl d0gg1e d0ubl3_bj
Trigger words
You should use m15510n4ry to trigger the image generation.
You should use bl0wj0b to trigger the image generation.
You should use c0wg1rl to trigger the image generation.
You should use d0gg1e to trigger the image generation.
You should use d0ubl3_bj to trigger the image generation.
Download model
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