Text-to-Image
Diffusers
Safetensors
FluxPipeline
FluxPipeline
FLUXv1-dev
image-generation
flux-diffusers
art
realism
photography
illustration
anime
full finetune
trained
finetune
trainable
full-finetune
checkpoint
text2image
Dev
Flux
DiT
transformer
Instructions to use AlekseyCalvin/Colossus_2.1_dedistilled_by_AfroMan4peace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/Colossus_2.1_dedistilled_by_AfroMan4peace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlekseyCalvin/Colossus_2.1_dedistilled_by_AfroMan4peace", 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 Settings
- Draw Things
- DiffusionBee
Herein lives a HF/Diffusers port of the Flux-De-Distilled-merged Colossus_2.1_dedistilled model.
The original creator is Afroman4peace. All credit due to them!
We merely performed a conversion to the Diffusers format, more easily usable via certain training frameworks.
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