Instructions to use eraRelentless/DreamModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eraRelentless/DreamModel 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("eraRelentless/DreamModel") prompt = "Female" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 437 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/20210214_212521.jpg
text: Female
parameters:
negative_prompt: none
base_model: ''
instance_prompt: Dreams
license: cc
---
# Dream
<Gallery />
## Trigger words
You should use `Dreams` to trigger the image generation.
## Download model
[Download](/eraRelentless/DreamModel/tree/main) them in the Files & versions tab.
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