Text-to-Image
Diffusers
flux2
flux2-diffusers
image-to-image
simpletuner
safe-for-work
lora
template:sd-lora
standard
Instructions to use quzo/textf23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quzo/textf23 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.2-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("quzo/textf23") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload my_first_lora_v1_copy.safetensors
Browse files
my_first_lora_v1_copy.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38adce0a32a7d66994d6b96ee5f8f3b757d1be1278da545f7e94a8cb8dcd0658
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size 390112224
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