Text-to-Image
Diffusers
Safetensors
English
Flux2KleinPipeline
scientific-diagrams
methodology-figures
flux
Instructions to use LoYuXrqw/SciForma-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LoYuXrqw/SciForma-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LoYuXrqw/SciForma-Base", 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
File size: 523 Bytes
267aaee | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"_class_name": "Flux2KleinPipeline",
"_diffusers_version": "0.37.0.dev0",
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"text_encoder": [
"transformers",
"Qwen3ForCausalLM"
],
"tokenizer": [
"transformers",
"Qwen2TokenizerFast"
],
"transformer": [
"diffusers",
"Flux2Transformer2DModel"
],
"vae": [
"diffusers",
"AutoencoderKLFlux2"
],
"_note": "text_encoder/tokenizer/vae/scheduler shared with black-forest-labs/FLUX.2-klein-base-9B"
} |