Note: The validation settings are not necessarily the same as the
training settings
.
You can find some example images in the following gallery:
Prompt
unconditional (blank prompt)
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, a coffee pot and two cups sit on a café table. A folded newspaper and half-eaten croissant rest nearby.
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, a mandolin rests on a wooden stand next to sheet music. A glass of wine and pipe lie on the side table.
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, an ink bottle stands next to a fountain pen and open journal. Several sealed letters and a wax seal rest alongside them.
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, a brass telescope points skyward through a domed window. Star charts and astronomical instruments lie on a curved desk.
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, a vintage sewing machine sits centered on a wooden table. Spools of thread, scissors, and fabric patterns are scattered around it.
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, a hamster sits in its glass habitat next to its exercise wheel. A water bottle and food dish are visible inside.
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, a classic Coca-Cola bottle stands on a table next to an empty glass with ice cubes. Condensation beads on both surfaces.
Negative Prompt
blurry, cropped, ugly
Prompt
In the style of a Juan Gris cubist painting, a Range Rover SUV is parked in front of a modern garage. Its distinctive grille and headlights face forward.
Negative Prompt
blurry, cropped, ugly
The text encoder
was not
trained.
You may reuse the base model text encoder for inference.
import torch
from diffusers import DiffusionPipeline
from lycoris import create_lycoris_from_weights
defdownload_adapter(repo_id: str):
import os
from huggingface_hub import hf_hub_download
adapter_filename = "pytorch_lora_weights.safetensors"
cache_dir = os.environ.get('HF_PATH', os.path.expanduser('~/.cache/huggingface/hub/models'))
cleaned_adapter_path = repo_id.replace("/", "_").replace("\\", "_").replace(":", "_")
path_to_adapter = os.path.join(cache_dir, cleaned_adapter_path)
path_to_adapter_file = os.path.join(path_to_adapter, adapter_filename)
os.makedirs(path_to_adapter, exist_ok=True)
hf_hub_download(
repo_id=repo_id, filename=adapter_filename, local_dir=path_to_adapter
)
return path_to_adapter_file
model_id = 'black-forest-labs/FLUX.1-dev'
adapter_repo_id = 'davidrd123/JuanGris-Flux-LoKr'
adapter_filename = 'pytorch_lora_weights.safetensors'
adapter_file_path = download_adapter(repo_id=adapter_repo_id)
pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16) # loading directly in bf16
lora_scale = 1.0
wrapper, _ = create_lycoris_from_weights(lora_scale, adapter_file_path, pipeline.transformer)
wrapper.merge_to()
prompt = "An astronaut is riding a horse through the jungles of Thailand."## Optional: quantise the model to save on vram.## Note: The model was quantised during training, and so it is recommended to do the same during inference time.from optimum.quanto import quantize, freeze, qint8
quantize(pipeline.transformer, weights=qint8)
freeze(pipeline.transformer)
pipeline.to('cuda'if torch.cuda.is_available() else'mps'if torch.backends.mps.is_available() else'cpu') # the pipeline is already in its target precision level
image = pipeline(
prompt=prompt,
num_inference_steps=20,
generator=torch.Generator(device='cuda'if torch.cuda.is_available() else'mps'if torch.backends.mps.is_available() else'cpu').manual_seed(42),
width=896,
height=1280,
guidance_scale=3.0,
).images[0]
image.save("output.png", format="PNG")
Runs of davidrd123 JuanGris-Flux-LoKr on huggingface.co
7
Total runs
169
24-hour runs
169
3-day runs
169
7-day runs
169
30-day runs
More Information About JuanGris-Flux-LoKr huggingface.co Model
JuanGris-Flux-LoKr huggingface.co is an AI model on huggingface.co that provides JuanGris-Flux-LoKr's model effect (), which can be used instantly with this davidrd123 JuanGris-Flux-LoKr model. huggingface.co supports a free trial of the JuanGris-Flux-LoKr model, and also provides paid use of the JuanGris-Flux-LoKr. Support call JuanGris-Flux-LoKr model through api, including Node.js, Python, http.
JuanGris-Flux-LoKr huggingface.co is an online trial and call api platform, which integrates JuanGris-Flux-LoKr's modeling effects, including api services, and provides a free online trial of JuanGris-Flux-LoKr, you can try JuanGris-Flux-LoKr online for free by clicking the link below.
davidrd123 JuanGris-Flux-LoKr online free url in huggingface.co:
JuanGris-Flux-LoKr is an open source model from GitHub that offers a free installation service, and any user can find JuanGris-Flux-LoKr on GitHub to install. At the same time, huggingface.co provides the effect of JuanGris-Flux-LoKr install, users can directly use JuanGris-Flux-LoKr installed effect in huggingface.co for debugging and trial. It also supports api for free installation.