import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("condzero/flux1d-merge-model", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]flux1d-merge-model
The following merged model would not have been possible were it not for the efforts of people devoted to further advancing text to image modeling and generation.
float16 transformer weights of a 50/50 merge of the following (2) models:
https://civitai.com/models/978314 (UltraReal Fine-Tune)
https://civitai.com/models/966796 (Lumiere Alpha from Aixonlab)
This author gratefully acknowledges the authors for the above models!!
- Downloads last month
- 11
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support