Instructions to use an303042/tres_riches_heures with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use an303042/tres_riches_heures with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("an303042/tres_riches_heures") prompt = "wounded centaur, mythical creature rchrs" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("an303042/tres_riches_heures")
prompt = "wounded centaur, mythical creature rchrs"
image = pipe(prompt).images[0]Tres_Riches_Heures
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user an303042.

- Prompt
- wounded centaur, mythical creature rchrs

- Prompt
- ruins of athens, snake rchrs

- Prompt
- silver vampire sword rchrs

- Prompt
- medieval illustration of a dog standing by a fire hydrant, rchrs

- Prompt
- medieval drawing of a red headed woman dressed as a nun standing in a busy intersection rchrs

- Prompt
- an evil goose with sunglasses, rchrs
Trigger words
You should use rchrs to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for an303042/tres_riches_heures
Base model
black-forest-labs/FLUX.1-dev