Text-to-Image
Diffusers
Safetensors
English
FluxPipeline
FluxPipeline
FLUXv1-dev
image-generation
flux-diffusers
art
realism
photography
illustration
Merge
base
anime
full finetune
trained
finetune
trainable
full-finetune
checkpoint
text2image
Schnell
Flux
Dev
De-distilled
dedistilled
PixelWave
Booru
FluxBooru
Instructions to use AlekseyCalvin/Mangled_Merge_dedistilled_by_pmango300574_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/Mangled_Merge_dedistilled_by_pmango300574_Diffusers 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/Mangled_Merge_dedistilled_by_pmango300574_Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "FluxPipeline", | |
| "_diffusers_version": "0.30.0.dev0", | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "CLIPTextModel" | |
| ], | |
| "text_encoder_2": [ | |
| "transformers", | |
| "T5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "CLIPTokenizer" | |
| ], | |
| "tokenizer_2": [ | |
| "transformers", | |
| "T5TokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "FluxTransformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |