Instructions to use TheMistoAI/MistoLine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheMistoAI/MistoLine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TheMistoAI/MistoLine", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Generated images donot match the prompt
#10
by zky1 - opened
Great works! I try this model in diffusers but I found this model doesnot generate correct color as I mentioned in the prompt. Such as I wrote "white stones, green grapes" in the prompt but the model generates grey stones and A bunch of carrots. However, the lines as matched as input. I test the canny and softedge model, they perfomed better. Why doe this happen and any solution? Thanks a lot.
You might need to check the base model that you used to generate. I believe this has nothing to do with the controlnet.
StrugglerXYH changed discussion status to closed