Image-to-Image
Diffusers
Safetensors
Diffusion Single File
English
Flux2KleinPipeline
text-to-image
image-editing
flux
Instructions to use 6Morpheus6/FLUX.2-klein-4B-fp8-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 6Morpheus6/FLUX.2-klein-4B-fp8-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("6Morpheus6/FLUX.2-klein-4B-fp8-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Diffusion Single File
How to use 6Morpheus6/FLUX.2-klein-4B-fp8-diffusers with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "Flux2Transformer2DModel", | |
| "_diffusers_version": "0.37.0.dev0", | |
| "_name_or_path": "/home/tonera/models/FLUX.2-klein-4B/transformer", | |
| "attention_head_dim": 128, | |
| "axes_dims_rope": [ | |
| 32, | |
| 32, | |
| 32, | |
| 32 | |
| ], | |
| "eps": 1e-06, | |
| "guidance_embeds": false, | |
| "in_channels": 128, | |
| "joint_attention_dim": 7680, | |
| "mlp_ratio": 3.0, | |
| "num_attention_heads": 24, | |
| "num_layers": 5, | |
| "num_single_layers": 20, | |
| "out_channels": null, | |
| "patch_size": 1, | |
| "quantization_config": { | |
| "modules_to_not_convert": null, | |
| "quant_method": "torchao", | |
| "quant_type": "float8wo", | |
| "quant_type_kwargs": {} | |
| }, | |
| "rope_theta": 2000, | |
| "timestep_guidance_channels": 256 | |
| } | |