Instructions to use codeShare/FLUX.2-klein-9b-SDNQ-2bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeShare/FLUX.2-klein-9b-SDNQ-2bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("codeShare/FLUX.2-klein-9b-SDNQ-2bit", 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
- Draw Things
- DiffusionBee
File size: 952 Bytes
33228a0 | 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 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | {
"_class_name": "AutoencoderKLFlux2",
"_diffusers_version": "0.38.0",
"_name_or_path": "/root/.cache/huggingface/hub/models--black-forest-labs--FLUX.2-klein-9B/snapshots/92196c8e11f7b6cf2b7493e037d8c5345c559216/vae",
"act_fn": "silu",
"batch_norm_eps": 0.0001,
"batch_norm_momentum": 0.1,
"block_out_channels": [
128,
256,
512,
512
],
"decoder_block_out_channels": null,
"down_block_types": [
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D"
],
"force_upcast": true,
"in_channels": 3,
"latent_channels": 32,
"layers_per_block": 2,
"mid_block_add_attention": true,
"norm_num_groups": 32,
"out_channels": 3,
"patch_size": [
2,
2
],
"sample_size": 1024,
"up_block_types": [
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D"
],
"use_post_quant_conv": true,
"use_quant_conv": true
}
|